Professional Overview
I build practical AI systems that solve real-world problems. Among my projects are Dokusure, an AI-powered document processing platform for Nigerian customs agents, and a fraud detection model with 99.1% accuracy. I work primarily with Python and PyTorch, alongside modern cloud infrastructure, LLMs, RAG, and automation.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Deployed a real-time sign-language recognizer (CNN + MobileNetV2, MediaPipe)
- Shipped Python/FastAPI backend services, moving models from research notebooks
- Led a 1-month Holiday Tech Camp curriculum (AI, Python, web dev, Arduino)
- Trained and compared 3 classical models (Random Forest, SVM, XGBoost)
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Deployed a real-time sign-language recognizer (CNN + MobileNetV2, MediaPipe)
- Shipped Python/FastAPI backend services, moving models from research notebooks
- Led a 1-month Holiday Tech Camp curriculum (AI, Python, web dev, Arduino)
- Trained and compared 3 classical models (Random Forest, SVM, XGBoost)
Education
Field of Study: Industrial Mathematics
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
