AI/ML Engineer | Technical Product Manager
5+ years of experience architecting AI-driven systems that scale across emerging markets. Currently serving as CTO at Koolboks, where I lead cross-functional teams of 8+ engineers, manage technical infrastructure, and drive product strategy for 8,000+ active users across IoT, fintech, and AI platforms.
Core Impact Metrics:
- 🚀 300% improvement in deployment velocity through DevOps transformation
- 📈 50% reduction in customer acquisition time via AI-powered decisioning
- 💡 65% automation of customer support through RAG-powered chatbots
- ⚡ 99.8% uptime across distributed microservices architecture
🏗️ System Architecture & Platform Engineering
- Cloud-Native Architecture: Led migration from monolithic to microservices using Kubernetes, Docker, and Azure
- API Strategy: Architected secure, scalable APIs handling 50K+ daily transactions with 99.9% reliability
- Real-Time Systems: Built IoT data processing pipelines with predictive maintenance capabilities
- Financial Infrastructure: Developed PCI-DSS compliant payment processing with OAuth 2.0 security
🤖 AI/ML Engineering & Applied Research
- MLOps Pipelines: End-to-end ML deployment with automated retraining and model versioning
- NLP & RAG Systems: Production chatbots with context-aware responses and multi-language support
- Predictive Analytics: Monte Carlo simulations and statistical modeling for business intelligence
- Computer Vision: Healthcare applications including 88% accuracy breast cancer prediction models
👥 Engineering Leadership & Team Development
- Team Scaling: Grew engineering organization from 3 to 8 members with structured hiring processes
- Technical Mentorship: Established code review protocols, pair programming, and skill development programs
- Performance Management: Quarterly reviews, career pathing, and 40% improvement in code quality metrics
- Cross-Functional Collaboration: Led product strategy across engineering, ML, business ops, and finance teams
Machine Learning for Medical Diagnosis
- Impact: 88% accuracy in early breast cancer detection
- Tech: Logistic Regression, Scikit-learn, Statistical Analysis
- Outcome: Potential to improve healthcare outcomes across underserved communities
BNPL & Payment Processing Infrastructure
- Scale: 50K+ daily IoT transactions, 4K+ active PAYG customers
- Features: Led direct debit automation, credit scoring, real-time decisioning
- Achievement: 22% reduction in payment failures, 50% faster customer acquisition
Real-Time Device Monitoring & Analytics
- Architecture: Microservices with Azure Kubernetes, real-time data processing
- Impact: 30% increase in device uptime through predictive algorithms
- Innovation: ML-powered anomaly detection for proactive maintenance
AI-Powered Customer Support Automation
- Integration: Meta Graph API, WordPress REST API, NLP workflows
- Performance: 65% reduction in manual support workload
- Technology: Node.js, TypeScript, Natural Language Processing
🎯 Applied Artificial Intelligence Diploma - Baze University (Expected 2025)
🔬 B.Sc. Physics, First Class Honours - University of Ilorin (2021)
Recent Certifications & Learning:
- Advanced MLOps and Model Deployment Strategies
- Cloud-Native Architecture Patterns
- Product Strategy for AI-First Companies
- TypeScript & Modern JavaScript Ecosystem
- French Tech Lagos Jury Member (2025) - Evaluating innovative startups
- AI in Education Keynote - Impact Hub Lagos with Kwame Yamgnane
- Medical Physics Conference - NAMP, Lagos University Teaching Hospital
- Mentoring emerging African developers in AI and backend engineering
- Contributing to open-source ML tools and educational resources
- Advocating for African-context AI solutions and ethical technology
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Healthcare Applications |
Team Development |
Talent Development |
Currently open to consulting opportunities, technical advisory roles, and collaborative projects in AI, fintech, and African tech innovation.