About
Core PhilosophyRaw data is just noise until you engineer it into action.
From my roots in Ghana to building planetary-scale systems in London, my operating philosophy has remained constant: the best architecture brings order to chaos. I don't just train models. I build the infrastructure that allows intelligence to exist reliably in production. Today, I apply this philosophy at Bloomberg to build global climate data utilities.
Infrastructure must be invisible, fault-tolerant, and infinitely scalable.
Transitioning from single-prompt LLMs to deterministic multi-agent swarms.
Awards & Recognition
Zindi Hackathon Winner
Ranked 1st overall. Engineered the best-performing insurance claim prediction model utilizing highly optimized XGBoost ensembles.
Zindi Hackathon Runner-up
Ranked 2nd globally. Architected a robust cryptojacking detection classifier achieving top-tier F1 scores on unseen test data.
Keynote Tech Speaker
Delivered technical deep-dives on MLOps, scalable data pipelines, and intelligent systems to audiences of 500+ engineers.
AWS DeepRacer Finalist
Trained an autonomous racing agent using PPO, placing top 1% in the London regional summit.
Outstanding Contributor
Recognized for core contributions to LLM orchestration frameworks, specifically around multi-agent routing.
Trajectory
Career ArcData Scientist
Started at the raw data layer. Architected real-time credit scoring inference engines that reduced 5-day manual reviews to 2-minute automated decisions. Mastered classical ML, NLP, and statistical rigour.
Lead Data & ML Engineer
A great model is useless if it cannot be served reliably. Shifted focus to the infrastructure layer — owning the end-to-end MLOps lifecycle. Built scalable inference APIs on AWS and designed enterprise data pipelines.
Senior AI & Data Engineer
Operating at planetary scale. Engineering high-throughput pipelines processing 14M+ global climate data points annually. Architecting autonomous AI agents for RAG-driven data quality investigation.
Founder & Architect
Fusing deep infrastructure knowledge with frontier AI. Building Residia's AI-driven escrow trust layer for emerging markets, whilst pursuing advanced ML/AI systems research at Georgia Tech.
Projects
Selected Work.
NyamekoBench
A pioneering LLM benchmarking framework evaluating models on African legal, financial, and cultural contexts.
Overview
Standard LLM benchmarks are dominated by Western-context tasks. Models scoring 90%+ completely fail when asked about Ghanaian property law or West African economic data.
Residia Infrastructure
An AI-driven platform combining secure escrow, verified offerings, and smart matching.
Overview
Ghana's rental market is a GHS 12B ecosystem plagued by trust issues. Tenants lose millions annually to fake listings, while landlords face extended vacancies.
InferenceGateway
High-throughput, unified LLM API gateway engineered in Go with semantic caching.
Overview
Production AI applications cannot be tied to a single LLM provider due to rate limits, downtime, and cost variability.
ModelForge
Service-oriented experiment tracking and model registry platform.
Overview
Tracking what was tried, what worked, what was deployed, and why becomes unmanageable without infrastructure.