SEEKING WORK | Boston | Remote or local
Algorithms / Machine Learning / Optimization Problems / Statistics as well as the full stack infrastructure to build a visual interface around it (generally Flask + D3.js, occasional React).
General R&amp;D stack is Python + Numpy + (Theano | TF) + Jupyter on AWS. I've also used MATLAB extensively.
Experience: Image processing, deep learning (conv nets, recurrent nets, variational autoencoders, etc.), kernel methods, graphical analysis, bayesian methods, statistics, compressive sensing and image reconstruction, signals processing and systems calibration, performant convex optimization, customer behavior interpretation and analytics, finance analytics/predictions, numerical optimization and simulation, data visualization.
Generally I work on problems involving both mathematical derivation and performant algorithmic implementation. I've built a number of internally used customer analytics tools for my clients to push on sales / conversion metrics which enabled major improvements as well as significant insight. I've also built end-to-end MVPs for early stage startups looking to demo an ML-enabled product.
If you have an interesting dataset that you think could contain useful insight but you're not sure how to tackle it I'd love to take a look.
Education: MIT Bachelors '13, MEng '14
I have a small website/blog up at www.highdimensionality.com, though I've been a little lax on generating content for it as of late.
Email: REDACTED_EMAIL
Best,
Michael