Umesh Singla
Graduate Student Researcher
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolUmesh Singla is an AI researcher and engineer bridging cognitive science, machine learning, and data engineering with over a decade of experience across academia and open source. Currently a PhD student at UC Berkeley after an MS at UC San Diego and a BS from IIIT Hyderabad, he has held research roles at Princeton and UCSD focused on computational neuroscience and cognition. He combines hands-on software and DevOps skills—evidenced by contributions to the widely used Oppia learning platform—with statistical and systems thinking to build reproducible ML and distributed systems. A seasoned teaching assistant and mentor, Umesh has taught 10+ courses and participated in Google Summer of Code as both student and co-mentor, reflecting a strong commitment to community learning. He thrives in culturally diverse teams and enjoys using ML to uncover structure in human behavior to inform better autonomous systems.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy Computation and Cognition, Doctor of Philosophy Computation and Cognition at University of California, BerkeleyUniversity of California, San DiegoBachelor's Degree Computer Science, Bachelor's Degree Computer Science at International Institute of Information Technology Hyderabad (IIITH)High School Physical Sciences, High School Physical Sciences at Bhavan Vidyalaya, Chandigarh
Punjabi, Hindi
Stackoverflow
15reputation
37reached
0answers
1question
Github Skills (17)
scripting10
bash10
google-app-engine10
automation-testing9
automation9
automations9
shell9
script9
sh9
hdfs6
java6
apache6
hama6
ed255193
np3
Programming languages (9)
Github contributions (5)
oppia/oppia
Mar 2016 - Mar 2016
A free, online learning platform to make quality education accessible for all.
Role in this project:
DevOps Engineer
DevOps EngineerContributions:6 commits, 1 PR, 9 comments in 2 days
Contributions summary:Umesh's contributions primarily focus on improving the Google App Engine installation process within the project's build scripts. They addressed errors in the download and installation steps by adding more descriptive error messages and ensuring the script exits when errors occur. Additionally, the user made minor modifications to comments, including correcting indentation, improving formatting and fixing the wording to enhance clarity and readability within the `start.sh` script.
appenginereactpythonlearning-platformquality-education
umeshksingla/macports-base
Jul 2017 - Oct 2019
The MacPorts command-line client
Contributions:39 pushes, 1 branch, 2 comments in 2 years 3 months
command-linemacosmacportscli
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