Professional Overview
Software Developer | ML Engineer & NLP Engineer | AWS ML Engineer | Applied ML Engineer – Language Technologies. Experienced in designing and deploying Machine Learning and NLP solutions, with a strong foundation in AWS cloud, Python, PyTorch, TensorFlow, and full-stack development (React.js, Node.js, FastAPI). Currently leading ML initiatives to d
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Leading the creation of AI and NLP systems for under-resourced Bantu languages,
- Designing and deploying end-to-end ML pipelines covering data curation
- Developing robust translation engines, advanced spell-checkers, and RAG chatbots
Key Achievements / KPIs
- Deployed FastAPI inference service handling 50k requests/day
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Leading the creation of AI and NLP systems for under-resourced Bantu languages,
- Designing and deploying end-to-end ML pipelines covering data curation
- Developing robust translation engines, advanced spell-checkers, and RAG chatbots
Key Achievements / KPIs
- Deployed FastAPI inference service handling 50k requests/day
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Leading the creation of AI and NLP systems for under-resourced Bantu languages,
- Designing and deploying end-to-end ML pipelines covering data curation
- Developing robust translation engines, advanced spell-checkers, and RAG chatbots
Key Achievements / KPIs
- Deployed FastAPI inference service handling 50k requests/day
Areas of Expertise
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.
