Available for remote ML/AI roles · Lagos → worldwide
  Keside Onyeocha

I build production AI systems — RAG pipelines, multi‑agent frameworks, and the backend that runs them.

ML/AI engineer with 2 years shipping deployed systems across solar optimization, autonomous navigation, and intelligent retrieval. Based in Lagos, working remotely worldwide.

Selected Work — three shipped systems.

01 Deployed

AgentX — Agentic RAG Platform

Hybrid dense + sparse retrieval wired into a multi-agent orchestration layer with dynamic task routing — end-to-end workflow automation against production knowledge bases.

Python LangChain Multi-Agent FastAPI
Result −60% manual processing time
View README
02 Deployed

Solar Panel Placement Optimizer

Astronomical sun-path prediction for real-time panel positioning.

Python Optimization Real-time
Result +34.5% efficiency vs static
View README
03 Deployed

RTLT — Real-Time Language Translation

Streaming, bidirectional voice translation infrastructure between English and Nigerian languages (Yoruba, Igbo, Hausa, Pidgin) — speech-to-speech, API-first.

Python Streaming Speech AI
Result 4 NG languages · live
View README

What I Work With

a. AI / ML
  • RAG
  • Multi-Agent Systems
  • LangChain
  • PyTorch
  • TensorFlow
  • Hugging Face
b. Backend & Cloud
  • Python
  • FastAPI
  • Docker
  • AWS
  • GCP
  • PostgreSQL
  • CI/CD
c. Specialties
  • Computer Vision
  • TinyML
  • Reinforcement Learning

About

I'm an ML/AI engineer based in Lagos, Nigeria. Over the past two years I've shipped production systems — from autonomous navigation and solar optimization to retrieval and multi-agent platforms.

I founded Cave.AI, a 50-member developer community, and I'm building Nitebus — a transport service for Lagos nightlife. Currently researching LLM-based perception and decision pipelines for autonomous driving.

I care about AI that actually makes it to production.