Santhoshkumar Srinivasan
AWS - Senior Cloud Architect
Tampa, Florida, United States
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Santhosh is a results-oriented Senior Software Architect with over 18 years of experience leading and delivering innovative software solutions for enterprises specialising in financial institutions and cloud migration.
Over the last decade, Santhosh has worked with several leading Financial Institutions, such as JP Morgan Chase, Fidelity, and Visa, helping their teams accelerate their journey to the Cloud and modernise their application stacks while adhering to strict security requirements and regulatory guidelines.
He specializes in application modernization and cloud-native architectures and is keenly interested in achieving cost efficiency through innovative use of cloud-native and managed services.
With a penchant for AI and ML, he has spearheaded multiple innovative solutions on adopting Generative AI models and tools for real-world solutions while ensuring the solutions are built responsibly and securely.
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Topics
Building AI native applications - Software Engineering for the Agentic era
The software engineering landscape is on the brink of a revolution. For decades, the iterative software development cycle has been driven by human-centric processes, producing tools and applications primarily for human consumption. The rise of Generative AI and AI agents is poised to fundamentally transform this paradigm, introducing a new, powerful actor that acts as the builder, the tool, and the consumer.
This session will explore the profound impact of this shift, providing software engineers with the insights and strategies needed to thrive in an AI-native world. We will move beyond the hype to discuss practical techniques and a new mindset for navigating this change.
Key topics covered will include:
- Shifting Your Thinking: Re-evaluating the traditional development cycle and adopting a new perception where systems are built not just for human users but also for AI agents.
- Adopting AI-Powered Tools: Integrating AI agents into your development workflow for tasks like code generation, automated documentation, and managing complex engineering processes.
- Building for an Agentic Future: Designing and developing systems that are "agent-friendly" from the ground up, focusing on concepts like model context protocol (MCP) and exposing tools and APIs that enable seamless interaction between agents.
By the end of this session, attendees will have a clear understanding of what it means to work in an AI-native engineering cycle and will be equipped with actionable strategies to prepare themselves and their teams for the future of software development.
Target Audience:
- Backend API Developers/Engineers
- Data engineers
- AI and Agent developers
Key Takeaways:
1. A Mindset Shift is Non-Negotiable: The future of software engineering requires moving beyond human-centric design to actively build systems and processes that are compatible with and optimized for interaction with AI agents.
2. Your Tools Will Change, and So Should You: Developers must embrace and integrate AI-powered tools and agents into their daily workflow, not as a replacement for their skills, but as an essential part of a more efficient and innovative development cycle.
3. The Future is Agent-Friendly: Designing for interoperability is key. The most successful systems will be those built with a modular approach, exposing clear and accessible APIs and tools that allow seamless communication and collaboration with a growing ecosystem of AI agents.
Agent orchestration using API-driven workflows
Generative AI is rapidly transforming industries and driving innovation. AI agents, leveraging the power of generative AI large language models (LLMs), are advancing automation by performing autonomous actions in areas traditionally requiring human intervention. However, the complexity of agentic workflows increases significantly with modern use cases involving multiple agents, as inter-agent communication multiplies this complexity.
This session focuses on practical implementations and ideas for streamlining these workflows, specifically agent-to-agent communication. It proposes a standard API structure to simplify agent development and implementation, demonstrating its application with live examples. The session also aims to establish semantic guidelines for agent development, promoting easier integration, efficient inter-agent communication, and self-discovery of agent capabilities. This session will use real-world agent use cases to illustrate the benefits of standardization and highlight common agent development complexities. It is designed for beginner to intermediate audiences, requiring no prior AI or agent implementation experience.
Target Audience:
- Backend API Developers/Engineers
- Data engineers
- AI and Agent developers
Key Takeaways:
1. Ideas for standardizing API design for agentic workflow: Ideas on what a standardized API schema or structure would look like for efficient agent orchestration.
2. Advantages with standardizing API design for AI agents: including use cases for wider market adoption
3. Sample real-world use cases: where standardizing the API schema for agent communication would be beneficial
Utilizing generative AI to improve soft skills
Generative AI is transforming industries and driving innovation at a rapid pace. At a time when AI technologies are performing so many tasks efficiently, many things still require human connection. Many roles like sales, marketing, human resources and even technology need humans with comprehensive verbal skills, leadership skills and emotional intelligence to build teams, connect personally and help pave the way for a better future. But, in an increasingly technology-driven world, it is no surprise that human relationships and soft skills have started to lag. Generative AI can be used as an effective tool to help improve and upskill these much-needed soft skills by offering personalized and interactive learning experiences. For instance, AI-powered platforms can provide real-time feedback on communication skills, enabling users to refine their verbal and written expression. Additionally, AI can simulate emotional scenarios to help individuals practice empathy and emotional intelligence. This session is focused on ideas and strategies to use the powerful AI models to help improve soft skills by designing tools to enhance teamwork and collaboration which can facilitate better decision-making and cooperation among team members.
Improving observability insights with Generative AI
The rapid innovation and growth across multiple industries, driven by advancements in cloud computing has seen several enterprises racing to the cloud and modernizing their applications and infrastructure in the process. As companies start settling down in these new environments, the next focus is towards optimizing costs, improving efficiency and operational excellence none of which would be possible without a strong observability setup. The complexity of modern distributed systems demands more than the traditional reactive monitoring solutions that have been a norm in the industry for a long time. By using the power of generative AI foundational models and retrieval augmented generation, this talk presents some innovative methods to enhance the observability stack for human-like monitoring.
Beyond Automation: The Agentic Era
Businesses across the globe spent a considerable amount of time and effort over the last decade on automation. The results of these efforts can be seen and realized in everyday life, but the world of automation is evolving. We're moving beyond task and process automation to a new era: the Agentic Era. This session explores the transformative potential of agentic workflows, where AI agents act as intelligent collaborators, automating complex processes which typically require human intervention and driving unprecedented efficiency. We'll delve into practical use cases, demonstrating how these workflows can revolutionize various industries. This session will also address the critical aspects of security and responsible AI development within agentic systems. We'll discuss best practices for building secure agentic workflows, ensuring data privacy, and mitigating potential risks, paving the way for a future where AI empowers us responsibly.
Atlanta Cloud Conference 2025 Sessionize Event
Orlando Code Camp 2025 Sessionize Event
move(data) 2025 Sessionize Event
IT Expo - TechSuperShow
ITEXPO is an annual event that brings together professionals in the communications and technology industries. It's a place where people can learn about the latest trends, network with others in the field, and find new products and services.
Presented a keynote presentation at GenerativeAI Expo (one of the collocated events of ITEXPO) on a GenAI topic - Utilizing Generative AI for Improving Soft Skills.
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