Sourabh Bajaj
Co-Founder And CTO at Uplimit
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSourabh Bajaj is a seasoned software leader and Co-Founder/CTO with 13 years of experience in machine learning, distributed systems, and statistics, based in Mountain View. He leads Uplimit’s technical vision for scalable, tech-driven upskilling and previously ran engineering teams at Neeva and Google, where he led the TPU API work for TensorFlow and added multi-language support to Apache Beam. A hands-on engineer who bridges research and production, he has merged internal TPU improvements into the public tensorflow/tpu repository and built ML platforms, data warehousing, and personalization systems at Coursera and Neeva. On GitHub he pairs backend development with developer tooling and docs automation—automating GitBook publishing and contributor generation for a widely used mac-setup project. His academic work on ML for financial time series and the open-source QuantSoftware Toolkit shows a long-standing commitment to applied ML and reproducible tooling.
14 years of coding experience
10 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Georgia Institute of Technology
Stackoverflow
255reputation
3.3mreached
10answers
4questions
Github Skills (29)
gitbook10
github-ci10
google-cloud-platform10
documentations10
python10
github-actions-workflows10
gcp10
tensorflow210
tensorflow10
github-pages10
github-action-workflow10
github-actions-workflow10
documentation10
scripting9
image-processing9
Programming languages (14)
Github contributions (5)
sb2nov/mac-setup
Jul 2013 - Aug 2020
Installing Development environment on macOS
Role in this project:
DevOps Engineer & Technical Writer
DevOps Engineer & Technical WriterContributions:5 reviews, 237 commits, 123 PRs in 7 years 3 months
Contributions summary:Sourabh primarily contributed to the project by setting up and configuring the build and deployment process, automating tasks related to the GitBook documentation. They implemented a script for publishing the GitBook to gh-pages, automating the process of building and deploying the documentation site. Additionally, they created a script to dynamically generate a contributors list. The user also made minor changes to the documentation's appearance.
guidebookmac-osxfresh-installsinstallingansible
tensorflow/tpu
Aug 2017 - Feb 2019
Reference models and tools for Cloud TPUs.
Role in this project:Backend Developer
Backend DeveloperContributions:45 commits, 43 PRs, 40 pushes in 1 year 6 months
Contributions summary:Sourabh's commits primarily involve merging internal changes into the public repository, indicating a role in integrating and releasing code. These changes include modifications to Python scripts for tasks such as image dataset handling and model configurations, which are critical aspects of the project's functionality. The changes also involve modifying configuration files and adjusting model parameters.
cloud
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