Seraphim Labs · Building
Software for the
limits of human performance.
Computer vision and applied ML for movement, form, and feedback. Currently building FormLab AI at Seraphim Labs.
FormLab AI.
A vision system that watches how you move and tells you what to fix.
I'm building the feedback loop that's been missing from physical practice: millisecond-accurate pose analysis, biomechanical reasoning, and coaching that adapts to the individual instead of the average.
The hard parts are real-time inference on consumer hardware, modeling form as a structured signal rather than a classification, and earning trust from athletes and clinicians. I'm treating the body the way modern tooling treats code — instrumented, diff-able, improvable.
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01
Real-time perception
Pose and motion estimation tuned for sub-frame stability on commodity cameras.
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02
Structured form
Biomechanics-aware models that reason over joints and trajectories, not just labels.
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03
Adaptive coaching
Feedback that learns the individual — range, constraints, goal.
Kaggle Silver Medal.
Top-percentile finish in LLM 20 Questions, an open Kaggle competition against a global field of researchers and practitioners.
Won by getting the modeling, validation, and engineering details right — not by scale. The kind of result that comes from caring about the tenth decimal place and the shape of the data, not just the headline metric.
- Result
- Silver Medal
- Competition
- LLM 20 Questions
- Discipline
- Applied ML & modeling
Computational Memory Lab, UPenn.
Applied ML and systems work under Dr. Michael J. Kahana.
Built an automated annotation framework for continuous EEG and speech, pushing onset detection toward sub-millisecond precision with WhisperX and adaptive thresholding. Engineered closed-loop Unity experiments that deliver stimuli at EEG-predicted moments of high memory encoding.
Real research code, real subjects, real timing budgets.
Work.
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Previously
Meta
Software Engineering
Past -
Incoming
Google
Software Engineer Intern · Search
Summer 2026 -
Incoming
Suno
Software Engineer Intern
Fall 2026
The interesting problems left are the ones where models meet the physical world and have to be right. I build at that boundary — vision, signal, feedback — and I ship.
— James
Let's talk.
Open to investors, technical collaborators, and operators who care about this problem space.