I build AI that solves real problems for real people—not just in theory, but in daily use.
My sports prediction platform, SabiScore, helps 350+ users make smarter decisions with AI-powered insights that prove accurate 7 out of 10 times, running reliably 24/7.
Self-taught from Nigeria, I now create AI solutions that transform how businesses and individuals make decisions worldwide. I turn complex technology into tools that simply work.
Full-Stack ML Engineer • Production AI Systems
Transforming complex AI concepts into scalable, production-ready systems that drive real business value. From model development and deployment automation to end-to-end system architecture, I build ML solutions that ship and stay shipped.
I design and deploy production ML systems end-to-end—from feature engineering and model training to APIs, DevOps, and monitoring. My work spans ensemble models, real-time inference, and full-stack applications that people actually use.
Based in Nigeria and working with teams globally, I focus on sports analytics, fintech, and predictive systems where model performance directly impacts business outcomes. Open to consulting, technical partnerships, and high-impact ML roles.
Real products where I owned the full stack—from data pipelines and ML models to APIs and frontends. Everything here shipped to real users, not just ran in a notebook.
Production ML platform serving 350+ active users with ensemble models achieving ~71% average prediction accuracy
Multi-chain token distribution platform with ZK proofs for privacy-preserving transactions
ML consulting services helping teams debug models and integrate LLMs for stakeholder communication
Have a production ML or AI product in mind and want a builder who can own it end-to-end?
Let's talk about your use caseThe tools I use to ship ML products—from model training to production APIs. Click any node to explore how I've applied it.
Continuous learning through industry-recognized programs
Completed courses in ML, feature engineering, data visualization, and more
Fundamentals of ML with TensorFlow
Supervised/unsupervised learning, neural networks, best practices
A snapshot of my open-source work and recent contributions.
Real feedback from teams I've worked with on production ML systems
“Oscar's ensemble model improved our prediction accuracy by 23% in production. His deployment expertise and attention to monitoring ensured smooth rollout with zero downtime.”
Live-style metrics that mirror production targets: uptime, load times, and traffic.
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Whether you need a production ML system, consulting on AI strategy, or a technical co-founder for your AI product—let's talk.
Custom ML solutions, model deployment, and MLOps implementation
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