As of July 2024 : I advise companies looking to deploy AI and ML solutions at scale, and also assist them in building globally distributed data teams from scratch in a fully remote environment. I provide expert consulting not just around ML and AI but also for companies looking to solve hard, gnarly statistics and exprimentation problems. Also available for mentoring and coaching engineering and product teams and delivering seminars to C-suite executives. From Oct 2023 - June 2024 : I was Chief Data Officer at Tonik Bank, leading all things data and ML for them and building sophisticated ML models for loans from scratch with a small, dedicated team. Sep 2023 - Oct 2023 : On a short sabbatical where long distance running, playing competitive bridge and backgammon are the main items on the menu! Always available and happy to help companies and DS / ML teams as an AI and ML coach, mentor and enabler, so get in touch with me via a private message if needed. Sep 2022 - Sep 2023 : I led data science and machine learning at Razorpay. Less recent past : Applying reinforcement learning and other sophisticated machine learning techniques to problems in the marketing domain at Expedia. Also passionate about privacy preserving machine learning applied to confidential data. Specialties: Expertise in stochastic inversion techniques, statistical physics, econometric and statistical techniques, reinforcement learning, linear algebra, and applied number theory. Fluent in C, C++, Matlab, and R. Adept at using perl and awk. In the distant past : Experienced in developing R&D tools for the seismic industry. Prior expertise in nonlinear statistical physics techniques and tools, especially pattern formation.