
On the stage
2× National IPDA Debate Champion. Arguing for clarity under pressure is the same skill I bring to research presentations and stakeholder pitches.

Engineering is half the job. The other half is making complex work legible, leading under pressure, and showing up for people.
I'm Asahi Lama Sherpa, an ML engineer who builds systems that work in production, not just in papers. I focus on probabilistic modeling, computer vision, and NLP, turning research into shipping code that delivers measurable impact.
My work spans competitive prediction systems (2nd place, 2 years running), real-time face recognition with minimal training data, and production-grade semantic search processing 1,000+ articles daily.
Outside of code, I've won national debate championships (2×), led teams to optimize million-dollar resource allocations, and presented research on particle physics and biosignal analysis. I care about building things that solve real problems and explaining them clearly to anyone, technical or not.
Beyond the notebook
The work is real, but so is the rest of it. Competition, community, and showing up for people matter as much as the metrics.

2× National IPDA Debate Champion. Arguing for clarity under pressure is the same skill I bring to research presentations and stakeholder pitches.

Night-league soccer: teamwork, composure, and reading the play when everything moves fast.

Resident Advisor, datathon team lead, and a lot of lunches with people who make the work worth doing.
Right now
What I'm building and learning at the moment.
Real-time computer vision: Basketball All Net AI (all-net shot detection; planning to add to Projects and ship as an app if hoopers like the demo in production)
Building production ML systems that ship
Probabilistic modeling for decision-making under uncertainty
Technical depth
I'm always down to chat about projects you're interested in, collaboration ideas, or dad jokes, especially the funny ones.