Anand Patil
Machine Learning Engineer at Continual
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolAnand 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 UniversityUniversity of California Santa CruzBS Physics, BS Physics at Harvey Mudd College
Spanish
Stackoverflow
61reputation
1kreached
0answers
1question
Github Skills (8)
d3js10
python10
javascript9
ipython8
jupyter-notebook8
notebook8
front-end-development8
virtualenv6
Programming languages (15)
Github contributions (5)
areski/python-nvd3
Mar 2015 - Mar 2015
Python Wrapper for NVD3 - It's time for beautiful charts
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:5 commits, 1 PR, 1 comment in 1 day
Contributions summary:Anand focused on improving the `python-nvd3` library, particularly concerning the integration of JavaScript assets. They addressed issues with sourcing JS and CSS files, ensuring proper use of remote assets over HTTPS. Furthermore, they updated inline documentation and fixed global scope issues to ensure proper functionality within the IPython notebook environment. The user made contributions to both the Python and JavaScript aspects of the project.
chartspythonchartpython-wrappernvd3
malaria-atlas-project/mbg-world
Mar 2009 - Jul 2009
Contributions:175 commits in 4 months
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