Dipak Chaudhari
Applied Research Scientist at Meta
United States
Summary
👤
Senior🎓
Top SchoolDipak Chaudhari is an applied research scientist with 11 years of experience at the intersection of machine learning, neuro-symbolic methods, meta-learning, and compositional interpretable models, currently contributing to AI research at Meta. He combines a strong academic foundation—a PhD in computer science from IIT Bombay and research stints at Rice and UT Austin—with practical algorithm development experience going back to technical architect roles in industry. His work spans computer vision and NLP with an emphasis on interpretable, compositional approaches that bridge symbolic reasoning and deep learning. Notably, his trajectory reflects a move from geometry and topology-driven feature recognition in CAD systems to cutting-edge meta- and neuro-symbolic learning, suggesting a rare blend of geometric thinking and modern ML rigor.
11 years of coding experience
11 years of employment as a software developer
Indian Institute of Technology BombayBachelor of Engineering (B.E.), Mechanical Engineering, Bachelor of Engineering (B.E.), Mechanical Engineering at Maharashtra Institute of Technology
Github Skills (12)
points7
apply6
giter86
sbt-plugin6
statistics5
forecasting4
command-line-tool4
scala4
python4
time-series3
cli3
kats2
Programming languages (2)
Github contributions (5)
dipakc/dipakc.github.io
Dec 2016 - Jun 2017
Contributions:21 pushes, 1 branch in 6 months
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