I'm an AI Engineer based in Nigeria, specialising in machine learning systems from model architecture and training to production deployment and agent design. I work across the full stack, using Python for everything ML and TypeScript with React Native and Next.js on the frontend.

My work sits at the intersection of predictive modeling, LLM agent systems, and real-world deployment. I don't just build models that work in notebooks I build systems that work in production.

Currently building PredictaX9, a mathematically consistent AI prediction engine for the 2026 FIFA World Cup, entering the Stair AI World Cup Agent Arena a live competition where AI agents place real prediction market bets and are scored on both profit and reasoning quality.

AI-powered football prediction engine for the 2026 FIFA World Cup

• Trained on 49,000+ international matches from 1872 to 2026
• Uses Poisson regression to predict expected goals per team
• Uses multiclass softmax for match outcome — probabilities always sum to 100%
• All Over/Under, BTTS and Clean Sheet markets derived from pure math — zero contradictions
• Built as a competing agent in the Stair AI World Cup Agent Arena ($4,500+ prize pool)

• 🏆 Competing in the Stair AI World Cup Agent Arena building an AI agent that makes live prediction market bets on 2026 FIFA World Cup matches
• 🤖 Wrapping SupaTX Oracle with an LLM agentic layer using LFM 2.5 1.2B Thinking for live data fetching and reasoning
• 🔧 Fine-tuning LLMs for domain-specific tasks using PEFT and LoRA
• 📱 Shipping cross-platform AI-powered apps with React Native and Next.js