About
Highly accomplished Lead Full Stack and AI Integrations Engineer with a proven track record of architecting scalable, efficient, and AI-driven applications across diverse industries. Expert in leveraging advanced AI agents, LLMs, and robust full-stack development to optimize systems, reduce costs, and significantly enhance user and customer experiences. Adept at leading cross-functional teams, revamping DevOps infrastructures, and driving innovation to deliver mission-critical solutions.
Work
Connecticut, CT, US
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Summary
Led full-stack architectural upgrades and AI agent integrations, enhancing scalability and efficiency for AI-driven applications.
Highlights
Spearheaded full-stack architectural upgrades and AI agent integrations, significantly enhancing the scalability and efficiency of AI-driven applications.
Drove the development of Graph-RAG systems using Neo4j and LLMs, improving accuracy on multi-hop queries and mentoring summer program participants.
Resolved critical backend bottlenecks by implementing asynchronous FastAPI services, reducing response times by 40% under heavy load.
Revamped DevOps infrastructure by provisioning AWS EC2 instances and automating CI/CD pipelines, cutting system setup time by 60%.
Engineered an interactive AI experimentation platform with websocket-powered real-time execution, boosting user productivity through multi-file support and dynamic workflows.
Lagos, Lagos State, Nigeria
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Summary
Maintained and enhanced full-stack airline systems, developing new features and optimizing APIs for flight scheduling, ticketing, and passenger management.
Highlights
Maintained and enhanced full-stack airline systems, developing new features, resolving software inefficiencies, and optimizing APIs for flight scheduling, ticketing, and passenger management.
Designed and deployed an AI-powered flight reservation and booking bot utilizing AI agents, enabling customers to search, reserve, and pay for flights conversationally.
Improved system reliability by refactoring legacy codebases and integrating automated testing pipelines, ensuring smooth deployments across environments.
Collaborated with operations teams to digitize manual processes, cutting booking response times and enhancing customer experience during peak traffic periods.
Remote, Dubai, United Arab Emirates
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Summary
Optimized AI infrastructure by migrating GPU-heavy workloads to AWS CPU instances, reducing costs and experimenting with open-source AI agent integrations.
Highlights
Optimized infrastructure by migrating GPU-heavy workloads to AWS CPU instances, reducing costs while continuously experimenting with open-source AI agent and agentic RAG integrations.
Enhanced RagFlow knowledge graph and RAG platform by automating entity generation, connecting structured/unstructured data into Neo4j, and cutting document parsing times to under 3 minutes.
Designed checkbox-driven knowledge graph templates across 12 cybersecurity domains, enabling real-time graph updates and making graph creation accessible to non-technical users.
Built an admin dashboard with role-based access and secure deletion, strengthening platform security and scalability.
Abuja, FCT, Nigeria
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Summary
Led full-stack development across multiple payment products, including bill payment platforms, merchant/admin backends, and payment checkout systems.
Highlights
Led full-stack development across multiple payment products, including C# ASP.NET Core bill payment platforms, Java Spring Boot merchant/admin backends, and React.js payment checkout systems.
Managed Hostinger VPS infrastructure with containerization, ensuring secure, scalable, and high-availability deployments for critical payment services.
Built and maintained React.js frontends, ensuring seamless payment processing and merchant interactions.
Streamlined CI/CD workflows and system monitoring, reducing downtime and accelerating release cycles for mission-critical financial services.
Skills
Languages
Java (Spring Boot), Python (Django & FastAPI), Javascript, Typescript (ExpressJS, NestJS, NextJS, ReactJS).
Cloud Services & DevOps
AWS (EC2 & S3), GCP, Docker, Kubernetes, Minio, Elastic Search, Git, Linux.
Artificial Intelligence & Machine Learning
LLMs (Llama, GPT, Claude, Gemini), AI Agents (LangChain, Ragflow, Neo4J, CrewAI, AutoGen), Retrieval-Augmented Generation (RAG, Naive RAG, GraphRAG), Vector Databases (Pinecone, Weaviate, FAISS, ChromaDB), Fine-tuning & Prompt Engineering, Transformers (HuggingFace), Model Deployment & Evaluation.