Karan Goel
San Francisco, California, United States
Summary
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RockstarKaran Goel is a founder and CEO based in Palo Alto with a decade of experience translating cutting-edge ML research into products, currently leading Cartesia to bring state space models into mainstream use. He holds a CS PhD from Stanford AI Lab, an MS from CMU and a dual degree from IIT Delhi, with deep expertise in reinforcement learning, generalization and interpretability. Karan has a proven track record of productizing research—deploying Stanford work into production at Snorkel and collaborating with Salesforce AI Research. He has trained and published under leaders like Jure Leskovec, Emma Brunskill and Chris Ré, and was a Greylock X fellow, blending rigorous research with startup grit. Less obvious: multiple Stanford rotation projects across graph generation and inverse RL show a pattern of tackling diverse algorithmic problems before converging on sequence and state-space modeling as Cartesia’s focus.
10 years of coding experience
Github Skills (83)
datasets10
spaces10
robustness10
foundation-models10
pandas10
autoencoder10
ai10
artificial-intelligence10
gpt-310
data-science10
data-quality10
evaluation10
machine-learning10
llm10
sequence-modeling10
Programming languages (5)
Github contributions (5)
krandiash/krandiash.github.io
Nov 2015 - Jun 2019
Contributions:77 pushes, 1 branch in 3 years 7 months
StanfordAI4HI/ICLR2019_prism
Feb 2019 - Feb 2019
Contributions:49 commits in 1 day
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