C.NJOKU --:--:-- LAGOS

01 About

I build production backend systems, RAG pipelines and React interfaces — then ship them end to end, from data pipeline through deployment.

Profile ↓

02 Experience

A backend internship at IntelliVerse shipping AI-driven features into production mobile apps, alongside an ongoing role teaching a structured Python curriculum at Stable Genius Academy.

Experience ↓

03 Projects

Five shipped projects spanning LLM memory systems, social automation, sports analytics and an open-source PyPI tool.

Projects ↓

I'm a fullstack software engineer and AI/ML engineer with a track record of shipping production-grade backend systems, React-powered interfaces, and intelligent applications powered by Large Language Models.

Specialized in Python, FastAPI, PostgreSQL and React, with hands-on experience building REST APIs, prompt engineering pipelines, retrieval-augmented generation (RAG) systems and vector-backed memory architectures. Comfortable owning projects end to end — from data pipeline and model design through deployment on cloud platforms.

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Portrait of Chinemeze Njoku
Chinemeze Njoku — Lagos
Python Backend Intern — IntelliVerse Engineered and deployed AI-driven API features and data pipelines into production mobile applications ICT / Programming Teacher — Stable Genius Academy Designed and delivered a structured Python curriculum, driving measurable improvements through project-based learning Full experience →
Amnesia.io Gemini-native AI chat widget with a three-tier memory system: pgvector, Redis and background LLM reasoning GenPost Social media automation that generates LLM-drafted posts and auto-publishes to X agentcard-disco Open-source CLI/web tool published to PyPI that scores and optimizes A2A Agent Cards CourtVision A time-decayed Poisson model and layered statistical engine for next-game stat predictions Moodify Mood-driven music connector generating playlist recommendations from Spotify listening patterns All projects →