Build
AI and ML engineering: agentic systems, anomaly detection, RAG.
AI and machine learning engineer
I build production AI systems, and I teach the people who maintain them.
Agentic architectures, anomaly detection pipelines, and applied machine learning for fintech, logistics, edtech, and the public sector. Based in Lagos, Nigeria.
Trained & Delivered For
LOTUS Bank3MTT and Data Science NigeriaDigital RegenesysGOMYCODEWAAW Foundation
Free masterclassSaturday, 19th September, 2026 · 6:00 PM – 8:30 PM WAT
Python for Data Analytics: Zero to Hero Masterclass
Core Pillars
How I engage with organizations.
Clear scope, rigorous engineering governance, and hands-on delivery tailored to your technical maturity.
Teach
Training, curriculum design, and facilitation for teams.
Speak and write
Talks, panels, hackathon judging, and the podcast.
Featured Case Study
Optimus AI LabsOMNIS: 2D Financial Sentiment & Behavioral Fraud Intelligence Engine
Architected a dual-classifier financial intelligence engine scoring banking customers on Sentiment and Fit across a 20-zone strategic matrix, paired with a real-time Kafka event streaming fraud detection pipeline achieving 99%+ accuracy.
XGBoostApache KafkaPythonFastAPIScikit-learn
Key Outcomes & Metrics
- 99%+ Fraud Detection Accuracy
- 0.94-0.96 ROC AUC
- Sub-10ms Inference Latency
- 25% Churn Reduction
Latest Writing
Notes on building AI that survives production.
AI Engineering12 min read
The AI Intelligence Layer: The Missing Architecture Between Enterprise Data and Generative AI
Roughly 95% of enterprise generative-AI pilots deliver no measurable impact. The constraint was never model capability — it is a missing architectural tier between the data platform and the application.
Client Evidence
Verifiable reviews from enterprise engagements, corporate training, and advisory clients.
5.0
training“It went smooth. He is incredibly patient, insightful and always willing to go extra miles to help me better and think critically about my projects on data. He has this rare talent of breaking down complex data into clear and actionable steps making the project process exciting and smooth. He is never tired or dismissive whenever i ask questions. Always on standby to answer my questions.”
Sylvia Ukpa
Data Analyst, Administrative Officer
Let's build or teach something extraordinary.
Available for architectural design, machine learning consulting, corporate team training, and technical keynotes.