Summary
Anand Patil is a Machine Learning Engineer with 17 years of experience bridging advanced Bayesian statistics and production ML systems, currently based in Ann Arbor and working at Continual. He brings deep domain expertise in Bayesian analysis, geostatistics, malaria cartography, nonparametric methods, and statistical inversion of dynamic models, grounded in a PhD in Applied Mathematics and Statistics. Anand co-founded Sense Inc., led its engineering as CTO until acquisition by Cloudera, and continued contributing there as a software engineer, demonstrating a mix of startup leadership and enterprise-scale engineering. His open-source work includes hands-on full-stack contributions to python-nvd3, improving JS/CSS asset integration for notebook environments—an example of his attention to reproducible, interactive data workflows. After a recent sabbatical, he combines academic rigor from roles at Oxford with pragmatic product-focused engineering to deploy statistically sophisticated solutions. Colleagues note his ability to translate complex probabilistic models into reliable, maintainable software.
17 years of coding experience
4 years of employment as a software developer
MS Applied Mathematics, MS Applied Mathematics at Northwestern University
University of California Santa Cruz
BS Physics, BS Physics at Harvey Mudd College
Spanish