Samson Oluwadare

I’m a Machine Learning Engineer focused on turning messy, real-world data into reliable systems—especially for computer vision, traffic intelligence, and multilingual NLP. I’ve built end-to-end pipelines, shipped models with measurable performance, and presented results to peers.

At Ekiti State University, I implemented a vehicle detection and traffic flow analysis system using Support Vector Machines (SVM) and Decision Tree classifiers. I also built vehicle speed estimation algorithms for traffic management, reducing congestion by 15%, and processed real-time traffic data using Python with scikit-learn and OpenCV.

At 3MTT (3 Million Technical Talent Program), I developed NLP models for multilingual text processing with an 88% accuracy improvement over baseline and built ML-based recommendation and predictive analytics models (Random Forest, XGBoost, LightGBM) integrated with LLMs. I also created a cloud-based dashboard using AWS and SQL to visualize ML insights.

Beyond modeling, I care about product-ready engineering and collaboration. I built automated data pipelines and RESTful APIs for citizen services, and as a Project team lead, I managed timelines, mentored junior developers, and helped improve ML system scalability by 50% through better architecture decisions.