Vijay Vasudevan
Co-Founder At MintMCP
Los Altos, California, United States
Summary
🤩
Rockstar🎓
Top SchoolVijay Vasudevan is a seasoned AI and systems engineer with a decade of experience and a Ph.D. in Computer Science from Carnegie Mellon, now co-founding MintMCP to help enterprises safely connect AI agents to internal data with observability, RBAC, SSO, and audit trails. Previously a Senior Staff Software Engineer at Google Brain, he helped build early TensorFlow, created AutoML Neural Architecture Search infrastructure used in Cloud AutoML, and contributed to multimodal foundation models and Waymo research. Vijay combines deep research pedigree with production-grade engineering—contributing to high-profile open source projects like TensorFlow, TensorBoard, Lingvo, and the XLA compiler where he focused on performance, compiler internals, and MLOps. Based in Los Altos, he’s equally comfortable debugging notebooks and fixing docs as he is designing scalable ML infrastructure, and he brings an uncommon blend of research, product, and operational experience to enterprise AI.
10 years of coding experience
11 years of employment as a software developer
B.S. Electrical Engineering and Computer Science, B.S. Electrical Engineering and Computer Science at University of California, BerkeleyPh.D Computer Science, Ph.D Computer Science at Carnegie Mellon University
Github Skills (24)
c-language10
python10
machine-learning10
tensorflow10
cluster-manager10
compiler-optimization10
xla10
compiler10
cluster-api10
jupyter-notebook10
cprogramming-language10
apache-beam10
clustering10
documentation10
markdown9
Programming languages (6)
Github contributions (5)
tensorflow/tensorboard
Nov 2015 - May 2017
TensorFlow's Visualization Toolkit
Role in this project:
Back-end Developer
Back-end DeveloperContributions:120 commits in 1 year 6 months
Contributions summary:Vijay contributed to Python 3 support, documentation fixes, and bug fixes in the `tensorflow/tensorboard` repository. They were involved in initial steps toward Python 3 support and also worked on fixing documentation and reformatting code to match internal requirements. Furthermore, the user also contributed to the build process, by changing build_pip_package to not create an sdist, and adding a tensorboard example script.
machine-learningtensorflowvisualization
tensorflow/docs
Jan 2016 - Oct 2017
TensorFlow documentation
Role in this project:Technical Writer
Technical WriterContributions:33 commits in 1 year 9 months
Contributions summary:Vijay primarily contributed to documentation updates and corrections within the TensorFlow documentation repository. Their commits focused on fixing broken links, addressing missing documentation, and improving the clarity and organization of API references. Changes were made to both Python and C++ documentation, as well as testing and build scripts, to ensure accuracy and completeness. The user also performed content organization and structure adjustments for the overall documentation.
deep-learningmachine-learningdeep-neural-networkstensorflow-tutorialstensorflow
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