It’s hard to know in advance if a machine learning approach will work in practice: on your data, at scale, on your timeline.
I do feasibility studies and technical audits to help you find out before you commit. You will receive a written recommendation, a call to discuss it, and (where useful) a working prototype. Typical timeline: 1–3 weeks, fixed scope.
Previously:
- 4 years of academic research, 4 years leading ML at a startup — from R&D to shipped product
- PhD in ML (generative models, uncertainty quantification)
Send me a short email to tell me what you’re working on. I’ll get back within 2 business days. If it’s a fit, we’ll set up a quick intro call.