YouTube Video Explainer AI
Summary
An LLM-based system built using LangChain, embeddings, and vector search to answer questions from YouTube transcripts.
About
Highly skilled Machine Learning and AI Engineer with a robust software engineering background, specializing in building intelligent systems, LLM applications, and scalable backend services. Expert in developing LangChain-based AI applications, implementing vector search systems, and deploying ML-powered APIs. Leverages strong backend engineering expertise with practical AI development to deliver production-ready, high-impact intelligent systems that drive efficiency and innovation.
Projects
Agentic AI Workflows
Summary
Developed multi-step reasoning pipelines using LangChain.
CNN Image Classification
Summary
Implemented deep learning models using TensorFlow for image classification.
Price Prediction Models
Summary
Built regression models for house and car price prediction using Scikit-Learn.
Retail Sales Data Analysis
Summary
Performed exploratory data analysis on supermarket sales datasets.
Liquid AI Model Fine-tuning
Summary
Fine-tuned Liquid AI models on domain-specific datasets.
Work
Tintrel
|Backend Engineer (Contract)
→
Summary
Designed and optimized scalable backend services and APIs for high-volume data transactions, integrating payment systems and enhancing security and performance.
Highlights
Designed and developed scalable REST APIs using FastAPI and Flask, supporting high-volume data transactions.
Integrated Flutterwave payment systems into e-commerce platforms, significantly improving payment processing efficiency.
Implemented vector search with PostgreSQL (pgvector) for semantic search and AI-powered retrieval systems, reducing search response time by ~40%.
Optimized backend services, reducing average API response latency by ~35% and improving system scalability.
ALX Africa
|Software Engineer Intern
→
Summary
Developed a full-stack e-commerce application and foundational software components, enhancing system quality and efficiency through testing and optimization.
Highlights
Developed a full-stack e-commerce web application using Flask and REST APIs, supporting product management and checkout workflows.
Implemented automated unit tests, increasing test coverage and reducing regression bugs by ~30%.
Built an RGB JPEG compression library, successfully reducing image storage size by ~40%.
Developed a bytecode interpreter for a custom scripting language, enhancing understanding of compiler and runtime systems.
IHS Towers Nigeria
|Field Service Engineer
→
Summary
Managed telecommunications infrastructure operations, ensuring network uptime and reliability while supervising maintenance activities and improving fault resolution.
Highlights
Managed telecommunications infrastructure operations across multiple sites, ensuring network uptime and reliability.
Supervised contractors, ensuring SLA and KPI compliance across maintenance operations.
Prepared operational reports, improving maintenance planning and fault resolution efficiency.
Education
Federal University of Technology Owerri
Bachelor of Engineering
Electrical and Electronics Engineering