Summary
Nathaniel Akinwunmi is a Senior AI/ML Engineer with nine years of experience building and deploying production-grade machine learning systems across finance and technology sectors. He has led end-to-end model lifecycles—data engineering, experimentation, training, and scalable deployment using AzureML, Docker, Kubernetes, MLflow and DVC—to deliver credit decision engines, customer segmentation, personalization, and fraud detection. Skilled in Python, PyTorch, TensorFlow and transformers, he also designs LLM-based solutions including chatbots, RAG systems with vector stores (ChromaDB/FAISS/Pinecone) and agentic call analytics that extract conversation flow and sentiment. Nathaniel combines hands-on backend and DevOps experience with a knack for mentoring teams and aligning AI projects to measurable business ROI. Based in Ajah, Lagos, he brings a practical blend of research-led model tuning (RLHF evaluation) and operational rigor that accelerates adoption of AI in customer-facing platforms.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.Sc.) Applied Chemistry, Bachelor of Science (B.Sc.) Applied Chemistry at University of Benin