Rishabh Bhargava
Director, ML at Together AI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRishabh Bhargava is a Director of ML in San Francisco with 10 years of experience who blends startup founding with production ML and MLOps. He co-founded and served as CEO of Refuel.ai, building fast, scalable data-labeling pipelines, and now leads ML efforts at Together AI to operationalize models in product. His background includes running field engineering at Datacoral (acquired by Cloudera), early ML engineering at Primer, and curating MLOps Roundup, reflecting deep expertise in production data systems and ML operations. Academically grounded with a Master’s in Computer Science from Stanford—where he was a TA for CS229 under Andrew Ng—and engineering studies at Cambridge and a perfect-year abroad record at MIT, he bridges research and applied engineering. An active open-source contributor, he maintains serverless Python tooling (python-lambda), emphasizing dependency hygiene and stability to keep cloud ML services reliable.
11 years of coding experience
9 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Stanford University
Hindi
Github Skills (10)
version-control10
dependency-management10
aws-lambda10
aws10
py10
python10
package-management10
setuptools10
boto39
serverless9
Programming languages (1)
Github contributions (5)
nficano/python-lambda
Apr 2020 - Jan 2021
A toolkit for developing and deploying serverless Python code in AWS Lambda.
Role in this project:
Backend Developer
Backend DeveloperContributions:8 commits, 19 PRs, 21 pushes in 9 months
Contributions summary:Rishabh primarily focused on maintaining and updating the project's dependencies and versioning. Their contributions included adding missing packages to the `setup.py` file, bumping the project's version multiple times, and allowing for more up-to-date versions of the `boto3` library. This suggests a focus on ensuring the project's stability and compatibility with newer AWS services. They are also ensuring that the project is up-to-date with bug fixes from the dependencies.
deployingpython-codepythondevelopingaws-lambda
jamesrobertlloyd/dataset-space
Nov 2014 - Jun 2015
Contributions:34 commits, 1 push in 6 months
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