Summary
Charles Martin is a founder and AI consultant with 13+ years building and shipping machine learning and deep learning systems across search relevance, NLP, recommendation, and quantitative finance for firms like GLG, BlackRock, eBay, GoDaddy and Demand Media. He blends theoretical rigor—a PhD in theoretical chemical physics and NSF fellowship—with hands-on full-stack engineering (Python, Java, Ruby, C/Fortran) and production ML at scale. Charles leads the open-source WeightWatcher project for predicting DNN accuracy, contributing novel metrics like matrix entropy and ONNX support, and collaborates with UC Berkeley on AI foundations. He has a track record of converting research into commercial impact (e.g., models behind Demand Media’s content valuation and Aardvark work that preceded a Google acquisition). Comfortable from Cray supercomputers to AWS/DevOps, he also advises the Page family office on advanced physics and climate-focused technologies.
13 years of coding experience