Sahil Kommalapati
Graduate Research Assistant
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolSahil Kommalapati is a PhD student and graduate research assistant at UT Austin with eight years of experience applying deep learning to fluid dynamics and turbulence modeling. His background blends academic rigor and national-lab research—spanning projects at Argonne (Bayesian uncertainty quantification, DDPG for data-driven optimization) and a Google student researcher role focused on DL for weather. He has a track record of translating physics problems into ML solutions, from microfluidics experiments at IIT Bombay to online learning research in industry. Known for combining approximate Bayesian methods with deterministic policy approaches, he works at the intersection of uncertainty-aware ML and computational engineering. Based in Austin, he brings both hands-on experimental insight and scalable ML proficiency to complex multi-physics problems.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Mechanical Engineering, Master of Science - MS, Mechanical Engineering at University of WashingtonDoctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at The University of Texas at AustinBachelor of Technology - BTech, Mechanical Engineering, Bachelor of Technology - BTech, Mechanical Engineering at Mahindra UniversityHigh School Diploma, MPC, 95.1%, High School Diploma, MPC, 95.1% at Narayana Jr. College, Nallakunta
English, Hindi, Telugu, FrenchGithub contributions (5)
kommalapatisahil/CoherentStructures
Sep 2020 - Jul 2021
Contributions:38 commits, 33 pushes, 1 branch in 10 months
kommalapatisahil/kommalapatisahil.github.io
Jul 2020 - Dec 2024
Contributions:151 pushes, 1 branch in 4 years 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.