Building systems that see and understand
ML Engineer · Computer Vision · NLP · Part-time human being
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I build machine learning systems that bridge the gap between research and reality.
Specializing in computer vision and language models, I care about things that work—and work at scale.
My work lives in two worlds:
the clean abstractions of mathematics,
and the messy reality of production systems.
Current state of affairs:
Building proprietary systems by day,
exploring open questions by night.
(GitHub activity is the calm between storms)
Some truths, in no particular order:
- Morning ritual: coffee, ambient music, checking if the model converged
- Believe in elegant systems over clever hacks
- Forever fascinated by how machines learn to see
- Existential crisis: optional but often included
- Keep my life private, my code public, and my commits clean
- Currently more active in proprietary realms than GitHub's public squares
Selected with intention, used with purpose.
The quiet work behind the scenes.
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Where mathematics meets the machine,
and curiosity meets code.
"Most of my interesting work happens in private repositories.
Consider this GitHub the quiet cafe where I work on side projects
when the proprietary systems are sleeping."