Professional Overview
Solo AI engineer. I design, build, and deploy production AI backends end to end. My core stack is Python and FastAPI, with multi-agent orchestration (CrewAI and custom tool-calling loops), RAG on ChromaDB, and LLM integration via Groq and Gemini. I deploy on HuggingFace Spaces (Docker). Recent projects/builds deployed on Huggingface spaces: AfriCare: multilingual health and emergency PWA. CashGuard AI: financial-protection platform with a supervisor agent and 9 specialist agents. MedFlow Command: medical-logistics ops console with voice agents. Jarvis/NEXA: voice-controlled AI OS controller. I build with graceful fallbacks, ship features without breaking existing ones, and design for African contexts such as multilingual support. Open to remote contract and full-time roles.
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
