Jay Shah Podcast

Making AI models work for real-world applications | Aarti Bagul, ML Engineer

March 30, 2021 Jay Shah Season 1 Episode 20
Jay Shah Podcast
Making AI models work for real-world applications | Aarti Bagul, ML Engineer
Show Notes

Aarti is a machine learning engineer at Snorkel AI. Prior to that, she worked closely with Andrew Ng in various capacities -  at AI Fund helping build ML companies from scratch internally, as well as investing in ML companies, as a machine learning engineer at his startup Landing AI, as head TA for his deep learning class at Stanford University (CS230), and in his research lab at Stanford. She graduated with a master’s in CS from Stanford, and with bachelors in CS and Computer Engineering from New York University where she worked in David Sontag’s lab on applications of machine learning to clinical medicine, and at Microsoft Research as a research intern for John Langford, where she contributed to Vowpal Wabbit, an open-source project. 

Reach out to her at
LinkedIn: https://www.linkedin.com/in/aartibagul
Twitter: https://twitter.com/aarti_bagul

Also check-out these talks on all available podcast platforms: https://jayshah.buzzsprout.com

About the Host:
Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.
Jay Shah: https://www.linkedin.com/in/shahjay22/

You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!

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