Efe Marvel Omoregie
Associate Staff Engineer at Yellowcard
Lagos, Nigeria
Actions
Efe Omoregie is an Associate Staff Engineer at Yellow Card, where he builds AI applications and leads high-impact projects. With nearly a decade of software engineering experience, he has worked on payment systems, healthcare platforms, and cloud infrastructure.
He holds a Master’s degree in Information Technology from the University of Lagos, a Bachelor’s degree in Computer Science, and a Diploma in Networking and System Security from Benson Idahosa University.
Links
Area of Expertise
Topics
Knowledge Graphs for AI Agents: Structured Memory That Scales
This session covers how to build and maintain knowledge graphs that agents can query, update, and reason over. We'll cover graph schema design for agent memory, integrating Neo4j or other graph databases with LLM workflows, and techniques for agents to extract entities and relationships from conversations.
I'll also cover how to implement graph-based retrieval that understands context and connections, enables agents to perform multi-hop reasoning across related concepts, and maintains graph consistency as agents learn new information.
The session includes a live demo of an agent that builds its knowledge graph in real-time, plus practical patterns for when graphs outperform vector search and when to use hybrid approaches.
Terraform Module Patterns: Building a Reusable Infrastructure Library
This session presents a reliable approach to building an organisational library of Terraform modules that accelerates development while ensuring security and compliance.
We’ll cover proven module design patterns, documentation and versioning strategies, as well as testing approaches that keep modules reliable and reusable.
This session also shares lessons learned from building and maintaining a shared module library used across various teams, highlighting its impact on speed, consistency, and team collaboration.
Co-Writing with AI: Better Docs, Still Human
As AI transforms how we create content, documentation teams face a critical question: how do we harness AI while preserving the empathy, context, and human insight that make documentation truly helpful?
This session explores strategies for integrating AI into documentation workflows while maintaining the human-centred approach that builds trust with users.
We'll examine common pitfalls, such as AI hallucination in technical contexts, strategies for maintaining a consistent voice and tone, methods for ensuring AI-assisted content remains accurate, and approaches for using AI to enhance rather than replace human creativity and insight.
Monitoring Modern Apps Using the LGTM Stack
Modern applications are complex, distributed, and constantly evolving, which makes effective monitoring more important than ever.
The LGTM stack (Loki, Grafana, Tempo, Mimir) provides a unified, open-source solution for logs, metrics, and traces, giving developers and operators deep visibility into system behaviour.
During this session, we’ll break down each component of the LGTM stack, explain how they work together, and walk through real-world examples of monitoring modern applications. You’ll learn how to set up end-to-end observability, visualise data with Grafana dashboards, and troubleshoot issues faster with correlated logs, metrics, and traces.
Efe Marvel Omoregie
Associate Staff Engineer at Yellowcard
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