Henry
Dibie

Building full-stack AI products with ML pipelines, LLM applications, agentic systems, and backend infrastructure, from prototype to production.

RoleFull-Stack Engineer | AI Applications, ML Systems & Backend Infrastructure
Open toRemote & relocation — open worldwide
SinceBuilding in public since 2022 — shipped systems and counting
Registry connecting to github…
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Public repositories
2022
Building since
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System categories
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Deployed with a live URL
Push activity — last 12 months

Most of what's below shipped in the last twelve months: payment infrastructure, backend engineering, RAG and agentic systems, production ML platforms, model/AI evaluation, and full-stack products — on top of an earlier run of applied data-science and analytics work. The registry underneath pulls straight from GitHub, so it's never behind what's actually public.

Writing

10 pieces · medium.com/@KingHenryMorgansDiary
AUG 2026
I Built a Tool That Watches APIs for the Moment They Break Their Contract
How schema-watch diffs API contracts and fails CI before a breaking change ships.
JUN 2026
Reinforcement Learning Evaluation for Multi-Step LLM Agents: Failure Modes and How to Catch Them
Where multi-step agent evaluation breaks down, and how to catch it before production.
JUN 2026
The Hidden Tax Killing Your ML Team's Velocity — And the Architecture Decision That Fixes It
The feature-store architecture decision behind removing that velocity tax.
MAY 2026
I Built an AI Agent for Nigerian Fintechs From the Ground Up — Here's Everything I Learned
Building an agentic fintech ops tool end to end for the Nigerian financial ecosystem.
MAY 2026
Building a Production RAG Backend for Enterprise Knowledge Bases: Architecture, Decisions, and…
The architecture and decisions behind knowledge-rag-api — hybrid search, ACL filtering, grounded citations.
APR 2026
I Audited a Fine-Tuned LLM That Lost 50 Percentage Points After Training. Here's What I Found.
Diagnosing a BFCL regression in a fine-tuned tool-calling model.
APR 2026
Architecting Strategic Solvency: A Systems Engineering Approach to Corporate Credit Recovery
A systems-engineering framework for corporate credit risk evaluation and recovery.
MAR 2026
How I Won a Data Analytics Challenge by Reporting That Nothing Works
Winning the Splendor Analytics trial-activation challenge by reporting the truth instead of a good story.
MAR 2026
How to Audit a Production ML Inference API — A Practical Checklist
A practical checklist for auditing a production ML inference API — performance, security, deployment.
MAR 2026
Ecclesia-CheckIn: How I Replaced a Church Roster with a Time-Locked QR Attendance Engine
Replacing a manual church roster with a QR-driven, time-locked check-in engine.

Full Registry

live from api.github.com
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