Professional Overview
AI and Data Science Professional passionate about explainable AI, with hands-on experiencein data collection and analysis, end‑to‑end machine learning pipelines, and modelinterpretability. Skilled in NLP for African languages, computer vision for medical imaging, ML for bioactivity prediction, research, open-source contributions, and technical training.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
