Finance & Banking

Experienced individuals involved in financial services, including banking, investment, insurance, and real estate

Jaime Lopez Jr.

Jaime Lopez Jr.

Jaime is Principal Developer Advocate at Jack Henry where he leads the Developer Relations team working on open banking APIs. He is also a co-host of the More Than Just Code podcast. Jaime often enjoys a nice cup of coffee and conversation on various topics.

Jaime is Principal Developer Advocate at Jack Henry where he leads the Developer Relations team working on open banking APIs. He is also a co-host of the More Than Just Code podcast. Jaime often enjoys a nice cup of coffee and conversation on various... Show more

Stefano Amorelli

Stefano Amorelli

Stefano Amorelli is a software engineer and lead with 8+ years of experience in hands-on leadership positions for start-ups and scale-ups across the USA and Europe.

Stefano Amorelli is a software engineer and lead with 8+ years of experience in hands-on leadership positions for start-ups and scale-ups across the USA and Europe. Show more

Lone Gru

Lone Gru

Worked 20 years in Finance before moving to the ERP Team at an end customer.
Then implemented D365FSCM for Danish customers.

Lately worked as a Technical Specialist for Microsoft. And now working for Arineo.

Proud to be from the same country as D365FO!!!

Worked 20 years in Finance before moving to the ERP Team at an end customer. Then implemented D365FSCM for Danish customers. Lately worked as a Technical Specialist for Microsoft. And now working for Arineo. Proud to be from the same country a... Show more

Suryasivaji Killi

Suryasivaji Killi

Suryasivaji Killi is an AI and financial analytics professional with approximately four years of experience spanning predictive analytics, demand forecasting, credit risk modeling, financial analysis, and data engineering. He combines expertise in machine learning, business intelligence, and quantitative finance to develop data-driven solutions that improve operational efficiency, forecasting accuracy, and strategic decision-making.
Currently, Suryasivaji serves as a Data Engineer GenAI at GMH Holdings, where he architects AI-powered forecasting and analytics systems for a hospitality portfolio of more than 150 properties. His work includes developing machine learning-based demand forecasting models, real-time anomaly detection systems, and generative AI solutions that transform complex analytical outputs into actionable business insights. These initiatives have contributed to significant improvements in forecasting accuracy and decision-making speed.
In addition to his corporate role, he is the Founder and CEO of Next Stock Inc., an AI-driven logistics startup focused on neighborhood-level demand forecasting and intelligent inventory optimization for micro fulfillment and circular supply chains. He leads product strategy, forecasting engine development, inventory optimization design, and business growth initiatives aimed at improving supply chain efficiency and reducing operational waste.
Previously, Suryasivaji worked as a Financial Analyst at S4Cloud, where he developed predictive financial models, Monte Carlo simulation frameworks, and working capital optimization strategies that enhanced forecast reliability and improved capital efficiency. Earlier in his career, he served as a Credit Risk Analyst at KT Investments, building credit risk scoring models, stress testing frameworks, and portfolio risk monitoring systems for retail lending operations.
Suryasivaji holds a Master of Science in FinTech and Analytics from Stevens Institute of Technology and a Bachelor of Technology in Mechanical Engineering from Jawaharlal Nehru Technological University. His technical expertise includes machine learning, time series forecasting, financial modeling, credit risk analytics, data engineering, and business intelligence technologies, including Python, SQL, Tableau, TensorFlow, PyTorch, and Scikit-learn.

Suryasivaji Killi is an AI and financial analytics professional with approximately four years of experience spanning predictive analytics, demand forecasting, credit risk modeling, financial analysis, and data engineering. He combines expertise in ma... Show more

Eszter Iványi

Eszter Iványi

Eszter Iványi, with 5+ years in asset management and a Postgraduate Certificate in Business Coaching from ELTE University, she combines corporate expertise with coaching principles to drive organizational change and professional development.

Eszter Iványi, with 5+ years in asset management and a Postgraduate Certificate in Business Coaching from ELTE University, she combines corporate expertise with coaching principles to drive organizational change and professional development. Show more

Cíntia Guberovic

Cíntia Guberovic

Sou KCP (Kanban Coaching Professional) e atuo como Superintendente de Governança, Planejamento e Performance no PagBank. Tenho carreira de +20 em TI com foco em agilidade nos últimos 12 anos. Hoje sou responsável pela expansão da agilidade organizacional, Gestão de Projetos e Portfolio do PagBank, através da disseminação de melhores práticas como alavanca de negócios, utilizando conceitos de Business Agility, Kanban e KMM como ferramentas de crescimento exponencial e maturidade organizacional, melhorando a assertividade no atingimento dos objetivos em níveis estratégicos e táticos. Sou também responsável pela gestão e alavancagem do plano de desenvolvimento profissional dos especialistas em agilidade, projetos e portfolio de um dos maiores bancos digitais do Brasil.

Sou KCP (Kanban Coaching Professional) e atuo como Superintendente de Governança, Planejamento e Performance no PagBank. Tenho carreira de +20 em TI com foco em agilidade nos últimos 12 anos. Hoje sou responsável pela expansão da agilidade organizaci... Show more

Mike Ng

Mike Ng

Mike is an engineer working on production systems where governance, reliability, and auditability are non-negotiable. His experience spans fintech, cloud platforms, and decentralized systems, with a focus on designing boundaries that keep complex systems operable under real-world constraints.

He has been trained through competition-based systems engineering and has spent years building and operating systems where decisions are difficult to reverse. He now applies the same engineering discipline to AI-assisted workflows, focusing on how agents can be governed once they interact with code, infrastructure, and delivery pipelines. His current work explores how individual engineering disciplines can be transformed into organizational governance.

Mike is an engineer working on production systems where governance, reliability, and auditability are non-negotiable. His experience spans fintech, cloud platforms, and decentralized systems, with a focus on designing boundaries that keep complex sys... Show more

Joseph Okei

Joseph Okei

Helping product led companies drive business growth through user experience design and leadership. My philosophy as a product designer is “test and iterate”. This is the fastest way to truly build a user focused product.

Helping product led companies drive business growth through user experience design and leadership. My philosophy as a product designer is “test and iterate”. This is the fastest way to truly build a user focused product. Show more

Harsh Gupta

Harsh Gupta

Harsh Gupta is a Senior Data Scientist at PayPal with more than 10 years of experience in analytics, experimentation, causal inference, A/B testing, and growth measurement across financial services, technology, and consulting.

He is the co-author of the forthcoming Packt book The Agent-Augmented Data Scientist, which focuses on making analytical work with coding agents reliable, reproducible, and trustworthy enough to support real decisions. His work examines how teams can combine the speed of AI agents with explicit business context, verification systems, and human judgment.

Harsh has won multiple AI and data science hackathons and has judged applied AI and data science competitions at Stanford University and California State University, East Bay.

Harsh Gupta is a Senior Data Scientist at PayPal with more than 10 years of experience in analytics, experimentation, causal inference, A/B testing, and growth measurement across financial services, technology, and consulting. He is the co-author ... Show more

Aniket Tendulkar

Aniket Tendulkar

Aniket Tendulkar is an Enterprise Architect Senior Director specializing in enterprise architecture, AI-enabled systems, and large-scale digital transformation. He has successfully worked with Fortune 500 companies in building Enterprise Roadmaps and AI Strategies powered by Salesforce and MuleSoft for global organizations across Insurance, Telecommunications and Financial services. His work focuses on modernizing complex enterprise systems, integrating distributed applications, and building scalable digital infrastructure that supports millions of users. Aniket actively contributes to the technology community through research publications, industry speaking engagements, and mentoring emerging professionals in enterprise architecture and AI-driven platforms.

Aniket Tendulkar is an Enterprise Architect Senior Director specializing in enterprise architecture, AI-enabled systems, and large-scale digital transformation. He has successfully worked with Fortune 500 companies in building Enterprise Roadmaps and... Show more

Avinash Sabat

Avinash Sabat

Avinash Sabat is a Principal Cloud DevOps and Platform Engineer with 14+ years of experience building cloud-native platforms for large, regulated organizations. His work centers on platform engineering, developer enablement, and operational excellence, creating scalable, secure foundations that allow teams to move faster without sacrificing control. He brings a systems-level perspective that connects cloud engineering, governance, and business outcomes.

Avinash Sabat is a Principal Cloud DevOps and Platform Engineer with 14+ years of experience building cloud-native platforms for large, regulated organizations. His work centers on platform engineering, developer enablement, and operational excellenc... Show more

Naki Jannet Dejo Vicente

Naki Jannet Dejo Vicente

Hi, I’m Naki Dejo, a Technical Lead at BCP with over six years of experience building high-transaction distributed systems in the financial sector. I specialize in Java development and have also worked as a Solutions Architect and Scrum Master, leading both legacy and modern projects, including large-scale technology migrations and the development of critical enterprise components.

I am currently focused on integrating artificial intelligence and cloud technologies into scalable, inclusive software solutions. I am passionate about creating systems that not only perform at enterprise scale but also promote accessibility, fairness and long-term sustainability.

Hi, I’m Naki Dejo, a Technical Lead at BCP with over six years of experience building high-transaction distributed systems in the financial sector. I specialize in Java development and have also worked as a Solutions Architect and Scrum Master, leadi... Show more

Ratnadeep Simhadri

Ratnadeep Simhadri

Ratnadeep Simhadri is a distinguished Staff Software Engineer with over 12 years of progressive experience architecting and scaling mission-critical payment and financial technology systems that power more than $1.68 trillion in annual transaction volume across 200+ global markets. Currently at PayPal, he plays a pivotal role in driving next-generation innovation at the intersection of artificial intelligence and financial services. He is leading the development of advanced multi-agent AI platforms and LLM-powered systems that transform raw financial and transactional data into actionable business intelligence for millions of merchants, enabling smarter decision-making, demand forecasting, and real-time insights.
Throughout his career, Ratnadeep has demonstrated deep expertise in payments orchestration, open banking ecosystems, checkout platforms, and large-scale distributed systems. He has been instrumental in designing and launching highly scalable platforms that support hundreds of millions of users, including real-time payment infrastructures, open banking aggregation layers integrating thousands of global financial institutions, and extensible checkout systems that support diverse payment methods across multiple regions. His ability to build robust, high-availability systems with sub-second latency has significantly enhanced user experience, platform reliability, and business growth.
Beyond technical execution, Ratnadeep is widely recognized for his leadership and strategic vision. He has led cross-functional initiatives spanning engineering, data science, product, and compliance teams, aligning complex technical solutions with business objectives and regulatory requirements. As a mentor and technical leader, he has guided engineers across all levels, fostering a culture of innovation, engineering excellence, and continuous learning. His contributions have been recognized through multiple prestigious awards, including enterprise-wide innovation honors and consistent performance accolades, underscoring his impact on both technology and business outcomes.
With a strong foundation in both engineering and product thinking, Ratnadeep continues to push the boundaries of fintech innovation by integrating AI-driven intelligence into financial platforms, shaping the future of payments, merchant ecosystems, and digital financial services.

Ratnadeep Simhadri is a distinguished Staff Software Engineer with over 12 years of progressive experience architecting and scaling mission-critical payment and financial technology systems that power more than $1.68 trillion in annual transaction vo... Show more

Harish kumar Kanukuntla

Harish kumar Kanukuntla

Harish Kumar Kanukuntla is an accomplished Data Engineer with extensive expertise in big data technologies, cloud platforms, and ETL development. Currently serving at McKesson Corporation since September 2021, he specialises in designing and implementing unified data model architectures using Databricks, PySpark, and Delta Lake on the Cloud Platform. His work focuses on developing robust data ingestion pipelines, automating data processing workflows, and ensuring seamless integration across diverse systems and technologies.
With a strong foundation in both traditional and modern data engineering practices, Harish has demonstrated proficiency across multiple cloud platforms, including AWS, Azure, and GCP. His technical arsenal includes hands-on experience with Databricks for big data processing, Talend for data integration, and various Hadoop ecosystem components such as HDFS, Hive, Impala, and Sqoop. He has successfully architected CI/CD deployment pipelines using Jenkins, while developing custom Python UDFs for complex data transformations and integrations with RDS and Delta Lake environments.
Before McKesson, Harish held data engineering positions at Booz Allen Hamilton and Cylance Inc., where he developed comprehensive ETL solutions using Talend Data Integration and Big Data tools. His responsibilities included designing data warehouse architectures, implementing data governance frameworks, conducting performance analysis on high-volume data processing jobs, and leading migration projects from legacy systems to modern data platforms like Netezza and cloud-based solutions. He has also served in roles at FastMed Urgent Care, MprSoft Inc., and YK Software Solutions, gaining valuable experience in dimensional modelling, SSIS development, database administration, and reporting services.
Harish holds impressive academic credentials, including a Master's in Information Systems Security from the University of the Cumberlands (May 2020), a Master's in Computer Science from Northwestern Polytechnic University (December 2016), and a Bachelor's in Information Technology from Jawaharlal Nehru Technological University (June 2014). He is also a Certified Microsoft SQL Server Database Administrator and Certified Talend DI Developer. His domain expertise spans healthcare, banking, and finance sectors, where he has consistently delivered data solutions that drive business insights and operational efficiency.

Harish Kumar Kanukuntla is an accomplished Data Engineer with extensive expertise in big data technologies, cloud platforms, and ETL development. Currently serving at McKesson Corporation since September 2021, he specialises in designing and implemen... Show more

Harender Singh

Harender Singh

Harender Bisht, PhD, is a Technical Architect and Lead Developer with more than 10 years of experience designing and delivering enterprise technology solutions across insurance, reinsurance, finance, regulatory reporting, data engineering, and applied artificial intelligence. Based in New Jersey, he currently serves as a Lead Developer and Technical Architect at Crum & Forster, where he leads strategic initiatives involving IFRS 17, reinsurance modernization, financial automation, enterprise data architecture, intelligent reporting, and AI-enabled decision-support systems.

His work includes designing a company-wide IFRS 17 data and calculation framework that integrates claims, premiums, reinsurance, actuarial, and financial information with platforms such as Moody’s Analytics and OneStream. He has architected enterprise integrations for Sapiens Reinsurance, supported the modernization and retirement of legacy systems, and developed a hybrid cloud and on-premises job orchestration platform for centrally managing, monitoring, scheduling, and auditing enterprise batch operations.

Harender’s applied AI work focuses on building governed, secure, and explainable AI capabilities for enterprise environments. He has contributed to intelligent financial reporting solutions that combine retrieval-augmented generation, large language models, natural-language querying, semantic search, metadata-driven retrieval, and structured enterprise data pipelines. These solutions are designed to help business users explore financial and operational information, identify trends and variances, compare reporting periods, and generate evidence-based insights while maintaining traceability to authoritative data sources.

He has also designed microservices for OFAC sanctions screening using Azure Cognitive Search, fuzzy matching, weighted entity attributes, configurable decision thresholds, and auditable screening workflows. His broader AI architecture experience includes agentic workflows, intent classification, dynamic query planning, vector and keyword retrieval, prompt orchestration, model evaluation, human feedback, confidence assessment, observability, and responsible AI guardrails. He emphasizes the importance of grounding AI-generated responses in validated enterprise data, preserving lineage, controlling access, monitoring performance, and reducing hallucinations in high-stakes financial and regulatory applications.

His technical expertise includes Azure cloud architecture, enterprise AI architecture, microservices, .NET, C#, Python, SQL, data engineering, Snowflake, OneStream, Azure Cognitive Search, retrieval-augmented generation, large language models, LangChain, LangGraph, LangSmith, semantic search, and enterprise integration patterns. He works closely with finance, actuarial, compliance, operations, data, and technology leaders to ensure that technical and AI architectures align with business objectives, regulatory obligations, security standards, governance policies, and operational requirements.

Harender earned his PhD in Information Technology from the University of the Cumberlands, where his research examined the ethical implications of explainable artificial intelligence in insurance fraud detection. His research focused on how fairness, transparency, accountability, trust, interpretability, and auditability influence the adoption and use of AI-supported decisions in high-stakes insurance environments. His work bridges technical AI development with responsible AI governance and the practical needs of professionals who rely on algorithmic recommendations.

He also holds a master’s degree in Computer Applications from the University of Bridgeport and a bachelor’s degree in Computer Science from Amity University. His professional and academic work reflects a continued focus on developing scalable, trustworthy, and business-aligned AI systems that strengthen enterprise decision-making without compromising governance, transparency, or human oversight.

Harender Bisht, PhD, is a Technical Architect and Lead Developer with more than 10 years of experience designing and delivering enterprise technology solutions across insurance, reinsurance, finance, regulatory reporting, data engineering, and applie... Show more

Vaibhav Sharma

Vaibhav Sharma

Kumar Vaibhav Sharma is a cloud data platform engineer with 10 years in regulated financial services, where his focus is a question every institution faces: how to make compliance a byproduct of engineering delivery rather than an obstacle to it. At a Fortune 500 financial institution, he embeds audit controls directly into release pipelines cutting release cycle time by [55]% and compute costs by 40% while strengthening audit defensibility and built a production AI monitoring agent on GCP and BigQuery that took root-cause identification from hours to minutes. He has published on cloud platform modernization in regulated environments, and speaks at [DevOpsCon New York 2026 / etc.].

Kumar Vaibhav Sharma is a cloud data platform engineer with 10 years in regulated financial services, where his focus is a question every institution faces: how to make compliance a byproduct of engineering delivery rather than an obstacle to it. At ... Show more

Alayesanmi Femi

Alayesanmi Femi

With a seven-year career building and leading technical teams in the payments industry, I've seen firsthand how compliance can be a bottleneck to growth. As the Backend Engineering Lead at Mono, I have contributed as an engineering leader on building the open finance and identity infrastructure that powers of African digital businesses. This experience led me to building Tewo, an open-source, AI-native compliance co-pilot. Tewo is built on a single premise: to help businesses close enterprise deals faster. It achieves this by using AI to automate the most complex parts of compliance, including control setup, evidence gathering, and vetting system architecture, turning a major business hurdle into a competitive advantage.

With a seven-year career building and leading technical teams in the payments industry, I've seen firsthand how compliance can be a bottleneck to growth. As the Backend Engineering Lead at Mono, I have contributed as an engineering leader on building... Show more

Nurudeen Kamilu

Nurudeen Kamilu

Nurudeen Kamilu is a highly respected Systems Engineer with years of hands-on experience architecting, securing, and scaling containerized infrastructures across the financial, aviation, health, and technology sectors. He is passionate about bridging Dev and Ops through GitOps, IaC, observability, and SRE practices, with a focus on AI-assisted operations, agentic workflows, and intelligent automation to improve reliability, responsiveness, and business outcomes.

Nurudeen has consistently delivered enterprise-grade platforms across on-premise infrastructure, AWS, GCP, and Azure, and is known for driving automation, resilience, and policy governance in production-grade clusters. A CNCF-recognized Kubestronaut, Nurudeen is also the only Black recipient of the Kubestronaut award in Poland, a testament to his technical excellence and community impact. Don’t be surprised—like Linux distros, Nurudeen has deep knowledge of OpenSource Kubernetes, EKS, GKE, Mirantis Kubernetes Engine (MKE), Oracle Kubernetes Engine (OKE), and OpenShift.

Beyond his professional responsibilities, Nurudeen is deeply committed to the tech community. He actively shares his knowledge through speaking engagements and mentorship programs, aiming to uplift and educate aspiring engineers. Nurudeen's passion for technology and education extends to his involvement with organizations like DevOps-as-a-Service (DaaS), where he contributes to fostering a culture of innovation and excellence within the DevOps community.

Whether he's building a secure cluster or mentoring aspiring engineers, Nurudeen brings energy, insight, and authenticity to every stage and conversation.

Nurudeen Kamilu is a highly respected Systems Engineer with years of hands-on experience architecting, securing, and scaling containerized infrastructures across the financial, aviation, health, and technology sectors. He is passionate about bridging... Show more

Sathpal Singh

Sathpal Singh

Associate Director at UBS, specialising in AI, Multi-Cloud, and Observability Architecture. A Grafana Champion, Grafana & Friends Hyderabad Organizer, and Global AI Hyderabad Chapter Lead, passionate about building AI-powered solutions, cloud-native platforms, and thriving technology communities while helping organizations accelerate their AI transformation journey.

Associate Director at UBS, specialising in AI, Multi-Cloud, and Observability Architecture. A Grafana Champion, Grafana & Friends Hyderabad Organizer, and Global AI Hyderabad Chapter Lead, passionate about building AI-powered solutions, cloud-native ... Show more

Hernan Huwyler

Hernan Huwyler

Hernan Huwyler is a Global Risk Management Executive and the Academic Director at IE Law and Business School (Executive Education). With a dual background as an MBA and CPA, Hernan specializes in the intersection of Law, Technology, and Quantitative Risk.

He focuses on "translating" complex regulatory frameworks (EU AI Act, GDPR, ISO 42001) into actionable architectures for engineering and business teams. Unlike traditional compliance officers, Hernan advocates for data-driven risk management, moving beyond "heatmaps" to utilize Monte Carlo simulations, convolution models, and Python-based risk quantification.

Hernan has led Risk, Control, and Audit functions for major multinational corporations across Europe and the Americas. He writes and speaks extensively on Adversarial AI, Algorithmic Auditing, and the financial quantification of Cyber Risk. Past keynote venues include Risk Awareness Conferences (>2,000 risk managers), IIA and ISACA Summits, ProcureCom Europe, IKN Madrid, IE University, and closed-door sessions for international organizations and national regulators. Hernan’s talks consistently rank in the top 5% of conference feedback scores because he makes complex security requirements, business needs and regulations feel like a competitive advantage.

Speaking Topics:

AI Governance: Implementing ISO 42001 and navigating the EU AI Act.
Risk Quantification: Why "Impact x Probability" fails and how to use convolution models.
Adversarial AI: Balancing transparency with security to prevent data poisoning.
AI ROI: Risk-adjusted financial modeling for Generative AI deployments.

Ready-to-Submit Talk Proposals:

Session 1: The Technical/Quant Talk

Title: Kill the Heatmap: Quantifying AI Risk with Python & Monte Carlo Simulations
Abstract: Most organizations manage AI risk using colorful 5x5 "heatmaps." This is mathematically flawed and dangerous for high-stakes AI deployment. In this talk, we will ditch the gut-check methodology. I will demonstrate how to use convolution and Monte Carlo simulations to model the "tail risk" of AI hallucinations and regulatory fines. You will leave with a method to calculate the actual financial exposure of your models—no expensive GRC software required, just math and logic.

Session 2: The Governance/Security Talk

Title: The Transparency Trap: How to Audit AI Without Creating Vulnerabilities
Abstract: New standards like ISO/IEC 12792 demand AI transparency, but in the age of Adversarial Machine Learning, "oversharing" is a security vector. If you reveal your full architecture and training sources, you invite data poisoning and model inversion attacks. This session outlines a "Tiered Disclosure Architecture." We will discuss how to route specific data to auditors, regulators, and users differently, ensuring compliance with the EU AI Act without handing the keys to bad actors.

Session 3: The Business/Strategy Talk

Title: The Real Cost of Intelligence: A Risk-Adjusted Framework for AI ROI
Abstract: Companies are deploying Generative AI based on productivity hype, but they are ignoring the "OpEx Iceberg"—model drift, inference costs, and liability reserves. This talk presents a financial framework for calculating the true ROI of AI. We will cover how to factor in the "Risk Delta" (new risks vs. automated risks), calculate the Levelized Cost of AI (LCOAI), and determine when to build vs. buy based on process uniqueness. A session for leaders who need to justify the cloud bill to the CFO.

Hernan Huwyler is a Global Risk Management Executive and the Academic Director at IE Law and Business School (Executive Education). With a dual background as an MBA and CPA, Hernan specializes in the intersection of Law, Technology, and Quantitative ... Show more

Ricardo Corassa

Ricardo Corassa

Software engineer with experience in leading teams on the development of systems for psychometrics and finance. Ricardo is passionate about development and how developers can achieve their expertise and excellence of their skills set.

Software engineer with experience in leading teams on the development of systems for psychometrics and finance. Ricardo is passionate about development and how developers can achieve their expertise and excellence of their skills set. Show more

Srinivas Lakkireddy

Srinivas Lakkireddy

Srinivas Lakkireddy is a seasoned Cloud and Big Data Architect with over 20 years of experience in building enterprise-grade data solutions across the banking, financial services, and media domains. Currently serving as Senior Vice President at JP Morgan Chase, he leads the architecture and modernization of large-scale Anti-Money Laundering (AML) and Know Your Customer (KYC) systems, focusing on high-performance cloud data pipelines, scalable design, and secure, real-time frameworks. Srinivas is an expert in Apache Spark, AWS (Glue, EMR, Lambda, S3, SQS, SNS), Databricks, and Terraform, with deep expertise in designing cloud-native, event-driven architectures. Prior to his current role, he held leadership positions at Discover Financial Services , Nielsen and Northern Trust, where he spearheaded the migration of legacy systems to modern data lakes, architected reporting frameworks, and improved data reliability and performance using advanced analytics platforms. Srinivas is certified as an AWS Solutions Architect and DevOps Engineer Professional and holds a Databricks Data Engineer Professional certification. His strong foundation in Java, Scala, Python, and cloud technologies is complemented by his commitment to building secure, resilient, and future-ready data ecosystems.

Srinivas Lakkireddy is a seasoned Cloud and Big Data Architect with over 20 years of experience in building enterprise-grade data solutions across the banking, financial services, and media domains. Currently serving as Senior Vice President at JP Mo... Show more

Itana Bulatović

Itana Bulatović

I’m a Senior Machine Learning Engineer with proven track record of building AI systems across domains including finance, geospatial intelligence, healthcare, and environmental monitoring. My experience spans startups, research labs, and global enterprises, delivering real-world impact through deep learning, computer vision, and scalable MLOps pipelines.

Currently, at Schneider Electric, I'm a part of the Global Finance team working on AI-based solutions for financial intelligence. Previously, I led aerial imagery computer vision-based pipelines at MGGP Aero and developed end-to-end MLOps infrastructure at AI Clearing. My academic work at Shanghai Jiao Tong University focused on deep learning models for mammographic diagnostics where I published research articles at international IEEE conferences.

I’m a Senior Machine Learning Engineer with proven track record of building AI systems across domains including finance, geospatial intelligence, healthcare, and environmental monitoring. My experience spans startups, research labs, and global enterp... Show more

Jason Kumpf

Jason Kumpf

Jason Kumpf is a global go-to-market and international business leader, and a high-energy speaker. He serves as Head of US Revenue at Razorpay, a $180 billion per year global FinTech group.

He delivers keynotes, fireside chats, and panels on fintech, AI, international expansion, and sales leadership. Past stages include SF Fintech Week, YC events, The Paypers webinars, and Nuvei summits. He blends real operating stories with practical takeaways for business audiences.

Jason is also the founder of Silicon Valley Spark, a growth agency focused on strategy, marketing, sales, and AI, and Good Great Global, an international business expansion advisory. He is a board advisor, investor, and active voice in the Silicon Valley ecosystem.

Jason Kumpf is a global go-to-market and international business leader, and a high-energy speaker. He serves as Head of US Revenue at Razorpay, a $180 billion per year global FinTech group. He delivers keynotes, fireside chats, and panels on finte... Show more

Ralph Estep Jr.

Ralph Estep Jr.

Ralph V. Estep Jr. is an LPA, MBA, and the founder of Saggio Management Group in Middletown, Delaware, a cloud-based accounting firm serving hundreds of business and individual clients since 2005. He holds additional designations in tax and accounting (ABA, ATA, ATP) and spent years as CFO at Westminster Presbyterian Church, EVP at American Spirit Federal Credit Union, and controller at Morris, James, Hitchens, and Williams law firm.

What sets Ralph apart: he's built his entire career at the intersection of faith, money, and entrepreneurship. He's the creator and host of The Content Creator's Accountant and co-executive producer of The Podcasting Morning Show, where he helps creators and business owners move from financial anxiety to actual confidence. He's also a Junior Achievement mentor and invests in leadership development through Dale Carnegie training.

Ralph and his wife, Jennifer, have two sons and co-founded Estep Farm LLC, raising black Angus cattle in Delaware.

Ralph V. Estep Jr. is an LPA, MBA, and the founder of Saggio Management Group in Middletown, Delaware, a cloud-based accounting firm serving hundreds of business and individual clients since 2005. He holds additional designations in tax and accountin... Show more

Matt Fenner

Matt Fenner

Matt Fenner is a finance and operations executive with more than 30 years of experience helping entrepreneurs and investors build scalable, high-value businesses. He currently serves as COO of Caplin Ventures, a Jacksonville, Florida investment firm managing 10 operating companies and 20+ passive investments across healthcare staffing, technology, engineering, and professional sports.

Matt is available to speak on topics including: M&A strategy and execution, financial management for growth-stage companies, building and exiting micro-cap businesses, private investment strategy, and operational leadership in diversified portfolios. He holds an MBA in Finance and a BBA in Accounting from the University of North Florida.

Matt Fenner is a finance and operations executive with more than 30 years of experience helping entrepreneurs and investors build scalable, high-value businesses. He currently serves as COO of Caplin Ventures, a Jacksonville, Florida investment firm ... Show more

Gabriel Torres

Gabriel Torres

Soy un profesional con más de 10 años de experiencia en el sector financiero, habiendo trabajado en varios bancos en Ecuador y en startups innovadoras como Kushki Pagos. Actualmente, soy Cloud Engineer en Banco Bolivariano. Este año, me he convertido en Community Builder en el área de Serverless, donde me dedico a fomentar la comunidad y compartir conocimientos. Además, soy un activo creador de contenido, publicando regularmente en blogs de Medium y otras plataformas.

Soy un profesional con más de 10 años de experiencia en el sector financiero, habiendo trabajado en varios bancos en Ecuador y en startups innovadoras como Kushki Pagos. Actualmente, soy Cloud Engineer en Banco Bolivariano. Este año, me he convertido... Show more

Kumaresh Somi

Kumaresh Somi

I am a longtime developer turned architect who now drives security across the software development lifecycle at ING.

After years of writing code myself, I bring a builder’s mindset to every security conversation - practical, energetic, and and rooted in developer‑friendliness. Whether I’m designing guardrails or talking supply chain security, I’m all about helping teams ship faster and safer.

I am a longtime developer turned architect who now drives security across the software development lifecycle at ING. After years of writing code myself, I bring a builder’s mindset to every security conversation - practical, energetic, and and ro... Show more

Artur Latoszewski

Artur Latoszewski

I am an Engineering Manager with 14+ years of experience in the mobile ecosystem, spanning Fintech, Banking, and Medtech. My journey from Staff Engineer to EM II at Housecall Pro is driven by a simple belief: high-quality code is only as valuable as the impact it has on the user and the business.

How I Drive Results:

🚀 Mobile-First Strategy: I help organizations transition from treating mobile as an afterthought to making it their primary growth engine. I build scalable architectures that are technically sound and business-aligned.

🤝 Extreme Ownership: I lead with a mix of high standards and deep empathy. My role is to clear the path, foster a culture of accountability, and help engineers master their craft.

📈 Product & Tech Alignment: I bridge the gap between business vision and engineering execution, translating complex technical needs into roadmaps that stakeholders understand and champion.

My Strengths in Action:
As a Learner and Achiever, I am constantly evolving my leadership style to stay ahead of the mobile curve. My Analytical nature ensures decisions are data-driven, while Focus and Significance ensure we aren’t just building features—we’re building legacy.

I am an Engineering Manager with 14+ years of experience in the mobile ecosystem, spanning Fintech, Banking, and Medtech. My journey from Staff Engineer to EM II at Housecall Pro is driven by a simple belief: high-quality code is only as valuable as ... Show more

Maxim Olkhovskiy

Maxim Olkhovskiy

I work at the intersection of commodity trade finance, cross-border treasury, and digital settlement infrastructure.

Over the past decade, I have built and managed finance, treasury, liquidity, and transaction-control functions across energy, commodity trading, and UAE-based cross-border business environments. My work has focused on practical problems inside real trade flows: counterparty trust, settlement timing, banking constraints, documentation risk, liquidity visibility, and transaction execution across jurisdictions.

I am now developing Valtis.io, a platform concept focused on trusted infrastructure for commodity traders, treasury teams, and trade-finance participants. The goal is not to add more speculation to the digital-assets market, but to help commodity-market participants make cross-border flows more transparent, auditable, and operationally reliable.

I write about commodity trade finance, treasury architecture, settlement risk, AI in trading operations, and blockchain-based trust infrastructure for real-world trade.

I work at the intersection of commodity trade finance, cross-border treasury, and digital settlement infrastructure. Over the past decade, I have built and managed finance, treasury, liquidity, and transaction-control functions across energy, com... Show more

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers.

Join Speakers Directory

Join our Speakers Directory today and amplify your reach! Showcase your expertise to a global audience hungry for your insights. Let your voice be heard!

Create Profile