ML Engineer Intern
Summary
Build and deploy machine learning systems in a production environment, applying computer vision and ML engineering practice to real-world use cases.
AI Engineering Fellow
Summary
Completed the AI Engineering Track Fellowship with hands-on training in applied AI engineering and project development.
Research Fellow
Summary
Participated in a research fellowship focused on STEM research practice and structured project execution.
Mechanical Engineering Intern
Lagos, Lagos State, Nigeria
Summary
Supported installation, testing, and maintenance of production machinery; hands-on hardware troubleshooting, machining, welding, and fabrication under live operating conditions.
Highlights
Supported the installation, testing, and ongoing maintenance of production machinery, ensuring operational efficiency and minimizing downtime.
Performed precision machining, welding, and fabrication tasks, contributing to the manufacturing of essential components.
Assisted in troubleshooting and resolving mechanical issues, enhancing overall equipment reliability and performance.
Courses
Corrosion Science
Fluid Machinery
Thermodynamics
Tribology
Engineering Mathematics
Machine Learning
Signal Processing
Control Systems
FastAPI, Flask, Next.js, React, PostgreSQL, SQLite, Git/GitHub, AWS (in progress), Vercel.
Linear Algebra, Probability and Statistics, Engineering Mathematics.
Python, JavaScript/TypeScript.
LLM APIs (OpenAI GPT-4o), Prompt Design, Retrieval, Vector Search (pgvector).
YOLOv8, YOLOv12, OpenCV, OpenVINO, PyTorch, TensorFlow/Keras, scikit-learn, Random Forest, Roboflow.
Summary
An AI decision-support platform built for the USAII Hackathon through remote collaboration with a US-based teammate.
Summary
A multilingual telemedicine web app built by a team of four during the Young People in Tech (YPIT) hackathon.
Summary
Bilingual (English and Nigerian Pidgin) AI tutoring platform built on GPT-4o.
Summary
Voice-first personal companion app.
Summary
Cross-device information sync tool with an integrated chat assistant.
Summary
Built and deployed the FastAPI backend for a YOLOv8n plastic waste detection platform, rebuilt from an earlier Streamlit prototype into a production app with cloud sync, OAuth, and real-time updates.
Summary
Flood risk classifier built as a 3MTT capstone project.
Summary
This project develops an automated corrosion monitoring system using a cascaded deep learning architecture combining YOLOv12 for detection and YOLOv8 for classification. The system processes CCTV footage to detect uniform corrosion and grade severity (Grade 0-3) according to ASTM D610 standards, enabling proactive maintenance of Nigeria's industrial infrastructure.
Udacity
3MTT
ATF AI School