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.
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.