Saurav Kadavath
Member Of Technical Staff at Anthropic
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolSaurav Kadavath is a machine learning engineer focused on finetuning research and engineering, currently improving how Anthropic trains Claude. With 11 years of experience and an MS in Artificial Intelligence from UC Berkeley, he bridges cutting-edge research from his time at Berkeley AI Research with pragmatic production work at Anthropic. He has a strong EECS foundation (BS, High Honors) and hands-on software internship experience at companies like Okta, which helps him translate novel ML ideas into reliable systems. Saurav’s profile and publications (linked via Google Scholar) suggest active contributions to ML research beyond standard engineering deliverables, indicating he blends experimentation, evaluation, and deployment fluently.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering and Computer Science, High Honors, Bachelor of Science - BS, Electrical Engineering and Computer Science, High Honors at University of California, BerkeleyHigh School Diploma, High School Diploma at Mission San Jose High School
Github Skills (56)
pytorch10
speech10
natural-language-processing10
nlp10
evaluation9
python9
datasets9
machine-learning9
bert9
tensorflow9
deep-learning9
multiclass-classification9
speech-recognition9
transformer9
computer-vision9
Programming languages (5)
Github contributions (5)
ssss1029/PerceptualSimilarity
Jan 2020 - Feb 2020
Learned Perceptual Image Patch Similarity (LPIPS) metric. In CVPR, 2018.
Contributions:8 commits, 7 pushes in 19 days
pytorchpatchperceptualdeep-learninglearned
ssss1029/newssight
Jun 2017 - Jun 2018
Contributions:128 pushes, 1 branch, 1 issue in 1 year
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