Yeshwanth Venkatesha
Software Engineer at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolYeshwanth Venkatesha is a software engineer and applied ML researcher with a decade of experience building deep learning systems and production models across industry and academia. Trained at IIT Kharagpur and a PhD candidate at Yale’s Intelligent Computing Lab, he blends rigorous research in neural architecture search and model optimization with hands-on engineering in C++, Python, TensorFlow, and PyTorch. His background includes production-facing roles at Walmart Labs and Samsung, internships at Amazon, an SRC research scholarship, and a current software engineering role at Google in Mountain View. Comfortable moving models from prototype to at-scale deployment, he has a track record in ad delivery and AutoML that pairs experimental rigor with pragmatic system design. Notably, he bridged long-term academic research and short-cycle industry impact by interleaving graduate research with multiple applied industry internships and collaborations.
10 years of coding experience
4 years of employment as a software developer
Bachelor's Degree Computer Science and Engineering, Bachelor's Degree Computer Science and Engineering at Indian Institute of Technology KharagpurDoctor of Philosophy - PhD Engineering and Applied Science , Doctor of Philosophy - PhD Engineering and Applied Science at Yale University
Spanish, English, Hindi, Kannada, Telugu
Github Skills (73)
parallel10
python10
deep-learning10
gpu10
ray10
optimization10
numpy10
neural-network10
data-science10
reinforcement-learning10
tensorflow10
machine-learning10
ml9
acceleration9
tensor9
Programming languages (6)
Github contributions (5)
Intelligent-Computing-Lab-Yale/FedSNN
Jun 2020 - Oct 2021
Contributions:84 commits, 10 pushes in 1 year 3 months
yeshwanthv5/chess-automate
Feb 2021 - May 2021
Contributions:43 commits, 2 pushes in 2 months
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