Short note on who I am, what I build, and the angle I take on AI products.
I'm an Applied AI & Product Engineer- recently transitioned from a long career in Product Management.
At first it might look like a strange move. In practice, the timing feels almost suspiciously good: in times when writing code is becoming a commodity and it’s easy to ship software end-to-end, strong product sense and expertise become increasingly the real game changer for shipping what matters. And that's the muscle I've spent 20 years exercising.
My passion for engineering is nothing new: I took my first programming course when I was 12 and shipped my first program on a floppy disk. A few years ago I decided to take that passion seriously with a full-stack Software Engineering program and later an AI Engineering one.
But the deeper schooling came earlier: years spent working alongside highly skilled engineers in very technical teams, learning what solid engineering actually demands: maintainable architecture, testing, observability, scalability, and reliability.
It’s crazy how much of those learnings are coming together: with a solid AI-assisted development setup, I get to apply the skills I've honed for years (from Product, Design and Engineering), hands-on. And it’s a lot of fun!
I'm based in Berlin, available remotely. Open to roles where hands-on engineering meets product thinking.
A few ways we can engage. If you have something else in mind, let’s chat.
Whether it's a startup's first version or a new bet inside a larger org — turn a thesis into a product real users actually touch.
You have a product and a hunch that AI could help. I'll find where LLMs create real value, build the case, and ship it reliably.
Senior product judgment on every engineering decision. I talk trade-offs with an exec in the morning and ship a pipeline in the afternoon.
A small team that needs AI features fast and hands-on, without a full-time hire.
A snapshot. The bars are honest-ish and re-calibrated quarterly.
Learned through intensive formal training, then proven hands-on in production.
Admittedly the least seasoned muscle, but strong enough to ship reliable code with an AI-assisted setup.
Where my experience runs deepest — honed across industries, company sizes, and growth stages.
Click a role to expand the detail.
Designed and shipped a LangChain tool-calling agent and health assistant, replacing a fragile no-code workflow with a production-grade, code-based system — in three weeks.
Built the AI observability layer with LangSmith for data-driven iteration, drove architecture decisions, and improved instrumentation. Personalized longevity tools on top of epigenetic biomarker data.
Stack: LangChain · LangSmith · Next.js 15 · Supabase · TypeScript.
Agent design, integration with existing tools, and AI workflow design for small businesses that need to move fast — hands-on engineering, not slideware.
Led the modernization of HelloFresh Group's Delivery Management system — the data infrastructure and business logic powering customer-facing experiences for 7M+ active customers across 7 brands in 22 countries.
Owned the roadmap and prioritization, balancing high-impact delivery against stability across a long modernization arc. Drove a company-wide AI translation/localization strategy: discovery, tooling, integrations, and validation of a scalable platform across brands and countries.
Owned the roadmap, development, and launch of Maschine+, NI's first standalone music-making groovebox — exceeding sales targets within three months and selling out main shops. Cracked IoT usability problems that had been launch blockers, getting a previously-cancelled project greenlit.
Led the modernized release of Native Access, NI's most-used product (650k+ users), driving UX and the technical roadmap across partner software teams.
Hands-on PM consulting across startups to enterprises — Volkswagen, Audi, Bosch, the Dutch Ministry of Infrastructure, ReDI School. Directed end-to-end development and coached teams on roadmapping, story mapping, prioritization, and continuous delivery.
Shipped across IoT and connected devices, APIs, auth systems, mobile apps, and internal tooling — pairing directly with engineering and UX. Back then the transformation was Agile; the shape of the work is the same as AI today.
Joined as one of the first employees and helped build the processes and product thinking that scaled eduK to 9 million users and 3,200+ courses — landing it on Fast Company's Most Creative Companies in Latin America.
Built scalable market-research methods for category expansion, ran international content during LatAm expansion, and sat on the executive team.
The switch into engineering, on the record — two bootcamps, an MIT course, and earlier degrees.
Things I made on weekends. Most live on GitHub; some have a live demo.
Things I do that aren't code. They all show up in the code, eventually.