Chukwuemeka Chukwurah
Senior Software Engineer, Rocksteady Technologies
Lagos, Nigeria
Actions
Chukwuemeka is a passionate Software Engineer with 7 years of experience building scalable and impactful software solutions. Specializing in distributed systems, Chukwuemeka has worked with leading tech companies like Risevest, delivering products that serve millions of users.
A strong advocate for innovation and continuous learning, Chukwuemeka is also active in the tech community. He is currently one of the organizers of GDG Cloud Lagos and also mentors younger developers by organizing meetups and workshops.
Links
Area of Expertise
Topics
Securing The Fort: API Gateway Architectures, and why they matter
Abstract:
When building distributed systems, choosing the right API gateway architecture becomes critical for performance, security, and operational simplicity. In this session, we focus on the several patterns used to achieve this goal, focusing on Edge gateways (Nginx, Envoy, Traefik, etc). We’ll look at what they bring to the table, benchmark request latency, throughput, and resilience under load using a simple load tester with a Prometheus monitoring setup. We would also look into the sidecar architecture and when to use each pattern.]
Key Takeaways:
- Performance trade-offs: Measured latency & resource overhead for edge vs. sidecar.
- Security patterns: Implementing TLS termination, mutual-TLS,
and zero-trust in each model.
- Operational impacts: Simplifying policy changes, versioning, and scaling.
- Deployment recipes: Step-by-step for Envoy at the edge, Istio sidecars, and CI/CD integration.
The session concludes with integrating this architecture with Kubernetes. Then we have a quick look at use cases: Uber, Netflix, and Amazon’s use of API gateways to serve their customers.
Building AI-Native Cloud Applications with Vector Databases and Embeddings on GCP
The rise of AI is transforming how cloud applications are built. However, many engineers still struggle with the practical question: how do you integrate AI capabilities, such as semantic understanding and contextual reasoning, into cloud-native systems? Traditional databases and keyword searches aren’t enough when dealing with unstructured data such as documents, logs, or user interactions. The key lies in embeddings and the vector databases designed to work with them.
In this session, we will break down the concepts of embeddings and vector databases, showing how they can be generated with Vertex AI and stored, indexed, and queried using tools like AlloyDB with pgvector or managed vector databases on GCP. We’ll explore real-world data cleaning strategies and highlight how to integrate vector search into production-ready pipelines.
To make these concepts tangible, we’ll demo a Retrieval-Augmented Generation (RAG) application that combines LLMs with vector databases on GCP, powering semantic search over unstructured content. This end-to-end example will show attendees how embeddings and vector databases can unlock intelligent features in everyday applications.
This talk is designed for cloud engineers, DevOps practitioners, and software developers who want to move beyond the hype and build AI-native applications on GCP. Attendees will walk away with both the architectural patterns and a live demo showing how to deploy intelligent, production-ready systems with embeddings and vector search.
Building a custom KYC Copilot using Gemini
Workshop Description
Manual compliance and KYC reviews are a significant bottleneck for fintech teams. Every new customer or merchant application requires human validation, slowing onboarding and increasing costs.
In this hands-on workshop, participants will learn how to build KYC Copilot — an AI-powered reviewer that uses Gemini and Google Cloud Run to automatically analyse KYC and onboarding forms. The app detects incomplete or inconsistent data, flags potential risks, and generates a concise “review summary” that compliance officers can act on.
Attendees will design, deploy, and test this lightweight application using serverless tools on Google Cloud — ideal for startups seeking more innovative, cost-efficient internal automation.
Key Learning Objectives
- Integrate Gemini into serverless workflows for document and form review.
- Use Cloud Run and Firestore to automate internal compliance tasks.
- Generate human-readable review summaries and risk flags with AI.
- Apply explainable and auditable AI practices in fintech contexts.
Tools & Technologies
Google Cloud Run
Gemini API
Firestore
Cloud Storage
Workshop Outcome
By the end of the workshop, participants will have built a working KYC Copilot prototype that can:
Accept mock KYC form submissions
Use Gemini to assess and summarise data quality
Log and visualise results in Firestore for review
The session delivers practical, deployable knowledge for fintech developers seeking to simplify internal compliance, reduce operational time, and embed AI responsibly into their workflows.
Ideal Audience
FinTech developers and DevOps professionals
Startup founders and compliance engineers
Developers exploring Gemini and Google Cloud for AI automation
Speaker Note
“KYC Copilot” is designed to be hands-on, beginner-friendly, and highly practical. Participants leave with a deployable AI reviewer they can adapt for absolute compliance or onboarding use cases within their fintech environments.
Chukwuemeka Chukwurah
Senior Software Engineer, Rocksteady Technologies
Lagos, Nigeria
Links
Actions
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top