I'm an AI/ML engineer with production experience shipping LLM-powered agents, ML pipelines, and full-stack AI products end-to-end, from data pipelines and model deployment to the UI on top.
Currently building internal automation and AI workflows at a Nigerian fintech (Wayalinks): a support bot, backend/API work, and cross-team tooling.
Recent independent builds: a dual-engine fraud detection system (XGBoost classifier + LangGraph agent investigating borderline cases, trained on 1.3M+ transactions, sub-ms scoring), a LightGBM credit risk engine with SHAP/LIME explainability and a RAG layer grounded in EBA compliance docs (72.5% AUC-ROC on 250K+ loans), and a scholarship-discovery app for African students (Next.js frontend, Python/Playwright scraper, multi-provider LLM fallback chain, containerized and deployed on Render).
Remote: Yes, remote only
Willing to relocate: Yes
Technologies: Python, TypeScript/JavaScript, FastAPI, Next.js/React, LangChain/LangGraph, XGBoost, LightGBM, RAG pipelines, Docker, AWS, Supabase, Redis, n8n
Portfolio: mhmdxc.vercel.app
Email: [email protected]
I'm an AI/ML engineer with production experience shipping LLM-powered agents, ML pipelines, and full-stack AI products end-to-end, from data pipelines and model deployment to the UI on top.
Currently building internal automation and AI workflows at a Nigerian fintech (Wayalinks): a support bot, backend/API work, and cross-team tooling.
Recent independent builds: a dual-engine fraud detection system (XGBoost classifier + LangGraph agent investigating borderline cases, trained on 1.3M+ transactions, sub-ms scoring), a LightGBM credit risk engine with SHAP/LIME explainability and a RAG layer grounded in EBA compliance docs (72.5% AUC-ROC on 250K+ loans), and a scholarship-discovery app for African students (Next.js frontend, Python/Playwright scraper, multi-provider LLM fallback chain, containerized and deployed on Render).