Uche Madu is an AI Engineer with nine years of experience building production-grade, agentic LLM systems and automation pipelines that scale revenue, operations, and customer support without increasing headcount. He designs and deploys end-to-end AI backends using Python, FastAPI, LangChain/LangGraph, vLLM and vector stores (Qdrant/Redis) and tunes models via SFT and RL methods for domain-specific performance. At DivVerse Labs he launched a RAG system serving 3,000+ monthly users with sub-second latency and 99.9% uptime, and reduced release times and manual triage by automating CI/CD and support workflows. He combines cloud and DevOps chops (Docker, Kubernetes, Terraform on AWS/GCP) with data engineering and MLOps to deliver observable, resilient systems from day one. An experienced automation specialist, he has cut repetitive work by 70–80% using n8n and trained 4,000+ learners in low-code automation, turning education into measurable product and hiring outcomes. Based in Abuja, he brings a rare mix of model-level research, production deployment, and pragmatic business-process automation experience.
8 years of coding experience
5 years of employment as a software developer
Cloud DevOps Engineer Nanodegree, Cloud DevOps Engineer Nanodegree at Udacity
Master of Business Administration - MBA Marketing, Master of Business Administration - MBA Marketing at University of Nigeria, Nsukka
Google Africa Developer Training Program Google Cloud, Google Africa Developer Training Program Google Cloud at Google Developers
Data Engineering Bootcamp, Data Engineering Bootcamp at Wizeline Academy
This repository contains application code for the Wizeline Data Engineering Bootcamp (DEB) 2023. It is one of two repositories for the DEB. The other houses the infrastructure code.
Contributions:110 PRs, 132 pushes, 2 branches in 1 year 3 months
Contributions:2 PRs, 5 pushes, 3 branches in 3 years 11 months
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