Ramesh Sridharan
Director Of Machine Learning Architecture at University of California, Berkeley
Oakland, California, United States
Summary
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Senior🎓
Top SchoolRamesh Sridharan is a Director of Machine Learning Architecture with 13 years of experience building and scaling ML systems across healthcare, startups, and academia. He blends deep research credentials (PhD from MIT) with hands-on engineering—having led ML teams at Captricity/Vidado, architected products at Manifold, and now driving AI strategy and clinical models at Reveal HealthTech. As a UC Berkeley instructor, he teaches large introductory and advanced capstone data science courses, translating graduate-level topics like causal inference and differential privacy into practical curricula for hundreds of students. He has end-to-end expertise across the ML lifecycle from algorithm development and training at scale to productionization and team leadership, and a demonstrated interest in using ML to remove technical barriers in healthcare. An uncommon combination of rigorous academic research, production ML experience, and large-class pedagogy makes him effective at both mentoring engineers and shaping responsible, impact-driven AI solutions.
13 years of coding experience
9 years of employment as a software developer
BS Electrical Engineering and Computer Science, BS Electrical Engineering and Computer Science at University of California, BerkeleyPh.D. Electrical Engineering and Computer Science, Ph.D. Electrical Engineering and Computer Science at Massachusetts Institute of Technology
Stackoverflow
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Github Skills (61)
textbook10
visualization10
jupyterhub10
athena10
jupyter10
visualize10
jupyterlab-extension10
jupyter-book10
modeling10
mysql9
mariadb9
data-science9
postgresql9
snowflake9
redash9
Programming languages (8)
Github contributions (5)
rameshvs/chatviz
Dec 2012 - Apr 2013
Contributions:2 commits in 4 months
ds-102/ds-102-book
Jan 2021 - Jan 2023
UC Berkeley Data 102 Textbook
Contributions:23 commits, 12 PRs, 61 pushes in 2 years
datatextbookdata-scienceinferencejupyter
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