Systems Design Engineer and IESE MBA with 9+ years across enterprise software, AI research, product strategy, and operations. I find the real problem, build the evidence, and help teams decide what to do next.
Each case shows a different part of how I work: strategy, technical depth, analytics, customer judgment, or scaled execution.
A live daily word game and the quality system behind it.
I built the generation, cross-model evaluation, human review, and product analytics workflow that moves content from candidate to publication.
How do leading AI labs decide whether a model is ready to ship?
I built a grounded research system over a 2,500+ file corpus and compared evaluation, safety, and release practices across frontier labs.
From a weak first idea to a sharper market thesis and a deployed GLP-1 companion.
I mapped the market, found four unmet needs, chose a product wedge, built the product requirements and business model, and shipped a working web app.
Autodesk taught me how decisions change when the users are experts, the product is deeply technical, and the cost of disruption is high.
AI product discovery · Autodesk × Microsoft
Tested where natural-language AI could help 3D artists, where it failed, and how failure changed trust.
Program & operations · Autodesk M&E
Turned slow, artisanal research delivery into a repeatable operating system teams could use.
Enterprise product · Autodesk Maya
Turned an engineering breakthrough into a production workflow professional animators could trust.
The tools change. The operating pattern does not.
I do not start with a feature. I find the decision, bottleneck, or user problem that changes the outcome.
I combine market research, user evidence, product data, technical analysis, and experiments when the problem needs it.
I make technical systems clear to non-technical teams and turn business goals into requirements technical teams can act on.
I instrument products, review failures, and use what happens in the real world to change the next decision.
Useful experiments, without pretending every build needs a full case study.
A hybrid system that uses USDA nutrition data and deterministic dietary rules for facts, then uses an LLM only where generation adds value.
A local ETL and evaluation pipeline for narrated walking tours using DuckDB, Ollama, and Kokoro TTS, with deterministic, model, and human review layers.
Engineer by training. Product person by practice. Strategist by repetition.
I started in front-end engineering, moved into product design, then research and operations at Autodesk. My MBA added the commercial and strategy lens. AI pulled those threads together: technical systems, customer judgment, data, and decisions under uncertainty.
I am most useful in roles where the problem crosses boundaries: GTM strategy for technical products, AI product, product strategy, forward-deployed work, and cross-functional programs.
I am exploring GTM Strategy, AI Product, Product Strategy, and Forward Deployed roles.
