I own the whole product
Interface, data model, LLM pipeline, infrastructure, analytics, and the unglamorous work of keeping it reliable after launch.
Available for the right team
I’m Justin Ahinon, a senior product engineer with 7+ years in production. I take AI products from an uncertain idea to a deployed system: interface, data, LLM pipeline, evals, infrastructure, and analytics.
Based UTC+2, remote
Experience 7+ years
Languages English & French
How I contribute
Interface, data model, LLM pipeline, infrastructure, analytics, and the unglamorous work of keeping it reliable after launch.
I work on evals, retrieval, context, safety boundaries, and failure modes—not just the prompt or model call.
My frontend background is useful where AI meets a person: streaming output, uncertain answers, data-heavy screens, and fast feedback.
Selected proof
Consumer AI search
An embeddings and RAG search product that finds a film from a half-remembered scene, character, or feeling. I built and operate the product end to end.
~133K visitors · ~63K searches
in a recent 30-day period (June 2026)Natural language to data
A public tool that turns plain-English questions into SQL over 50-state Medicaid data, protects the query boundary, and chooses the right chart, table, or map for each answer.
50 states · one conversational interface
SvelteKit, Cloudflare, D1, Drizzle, Vercel AI SDKProduct engineering at scale
I was the main engineer on the education platform, owning the SvelteKit frontend and working across its API, database, lesson experience, routing, and state.
100K+ monthly users · 2M+ lessons
completed each month during my tenureThe longer arc
Before building independent AI products, I shipped software for platforms serving 100,000 to 800,000+ monthly users. At Fabric Blockchain Labs, I built real-time DeFi trading interfaces and shared packages across five SvelteKit applications.
Earlier, I spent four years contributing to WordPress Core, sponsored by Yoast. I led the migration of its end-to-end tests to Playwright, helped establish its Performance Team, and built developer documentation used by an enormous open-source community.
That combination—independent ownership, team-scale engineering, and open-source discipline—is what I bring to a product team.
What I’m looking for
I’m most interested in senior product engineering or applied AI roles where I can own meaningful product surface area, work close to users, and help decide what should be built—not only implement a finished specification.
I’ve worked remotely with US and international teams for most of my career and can overlap with European and US hours. I’m open to full-time roles and focused, longer-term engagements.
Have a hard product problem?
Send me the problem you’re trying to solve, what you’ve learned so far, and where you think I could help.
[email protected]