About
Engineer. Maker. Permanently Curious.
I have spent 20+ years making things quieter, more efficient, and more predictable -- refrigerators, HVAC systems, product platforms deployed in 30+ countries. Along the way I have filed 13 patents, published a technical book, led global engineering teams, and taught mechanical engineering at university.
The engineering side is serious work. But the AI side is where I go when I am genuinely excited. SkyMiner started as a question: what does machine learning actually find when you throw 9 million astronomical spectra at it? I am still finding out.
Equal parts engineer and curious builder. The rigor of a Six Sigma Black Belt and the restlessness of someone who builds AI pipelines because they genuinely cannot stop.
Outside of work, I am a husband and father — which has taught me more about complex systems than any simulation ever did. The best ones don't run on specs. They run on trust.
What people say drives me
Root Cause Over Surface Answers
Whether it's a multi-physics interaction or a Python pipeline behaving unexpectedly at 3AM, I dig until I understand why -- not just what. Intellectual honesty over the easy answer.
Breadth as a Superpower
From psychoacoustics to CFD to ML pipelines -- I've learned that connecting dots across disciplines is where the most interesting solutions live. Acoustics taught me to listen; AI taught me to ask better questions.
People First, Always
Leading 25+ engineers across three continents taught me that the best technical decisions are worthless without people who believe in them. I build trust before I build systems.
Permanently Self-Learning
SkyMiner started as curiosity about what Python could do with astronomical data. PairList was me deciding to actually learn React properly. ClaudeRemote was me wanting Claude in my pocket. The learning never stops.