Discovery + MVP
AI product strategy
I turn a vague "we should add AI" request into a scoped feature - what model, what data, what it should never do.
Available for AI product roles · Lagos, Nigeria
Thomas Ozichukwu
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I design and ship AI-powered products, automation systems, and production-grade web experiences for ambitious teams. I bridge product thinking, engineering depth, and real-world business value.
3+
Years Experience
8+
Major Projects
25+
Technologies
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01 — About
The Engineer
Behind the Build
I am a Full-Stack Software Developer and Architect with over 2 years of hands-on experience designing and building dynamic, scalable applications across web and mobile platforms.
While I have deep expertise in crafting seamless mobile experiences with Flutter, my core strength lies in end-to-end software engineering - from system architecture decisions to the final pixel.
I build robust backends using Python and Node.js, design efficient REST and GraphQL APIs, and manage both SQL and NoSQL databases. On the frontend, I focus on mobile-first, responsive design using Tailwind, React, and Next.js.
I thrive in fast-paced environments - SaaS, e-commerce, fintech - and excel at asynchronous communication that keeps remote teams aligned.
SEC.05 - AI SYSTEMS
I build AI features that ship, not just prompts.
I design and integrate AI into real products - chat interfaces, retrieval pipelines, and automation - using production-grade APIs. Below is the actual stack running this site's assistant, and how I typically approach an AI feature end to end.
RAG + Context
LLM systems design
Prompt architecture, retrieval over real content, and evaluation - the plumbing behind a chatbot that's actually useful.
Speed + Scale
Low-latency inference
I route requests to fast inference providers like Groq when response time matters more than raw model size.
End-to-End Delivery
Product engineering
I ship the full feature - frontend, backend proxy, rate limiting, and error handling - not just an API call.
Google GeminiReasoning & context-aware replies
GroqLow-latency inference layer
Build Loop
1Problem framing
2Model + provider fit
3Prototype + eval
4Production deployment
AI Impact
Faster answers.
Fewer dead ends.
Real product value.
Whether it's a support chatbot, an internal tool, or a feature like the one below, I focus on picking the right model for the job - not the biggest one - and shipping it with the same rigor as any other production system.
LIVE DEMO - ASK ABOUT MY WORK
T
Thomas's Assistantanswers questions about experience & projects
This demo is wired to run on Google Gemini for reasoning and Groq for fast responses, with resume and project content as context - a lightweight RAG setup. In production this call runs through a backend proxy rather than the browser, to keep API keys private. Right now it is in demo mode with canned context matching.
02 — Skills
Technical
Arsenal
03 — Experience
Work
History
Current
AI Product Engineer
Independent Product EngineeringProduct development
- ● —Design and ship AI-powered products, automation systems, and production-grade web experiences.
- ● —Bridge product thinking, engineering depth, and real-world business value across SaaS, fintech, and e-commerce work.
- ● —Build end-to-end features across frontend, backend, APIs, integrations, and deployment.
Next.jsReactNode.jsFlutterFirebase
04 — Projects
Featured
Work
Click card to open details
05 — Education
Academic
Foundation
Let's Build Together
Have a project in mind?
Let's make it real.
Open to remote opportunities, freelance projects, and collaborations in software architecture, full-stack development, and Web3.
Thomas Ozichukwu© 2026 — Crafted with intention