Shreya Shankar
Computer scientist on LLM data processing; built DocETL, co-teaches an AI evals course with Hamel Husain.
At a glance
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- Shreya Shankar is a computer science researcher.
- Her PhD is in EECS from UC Berkeley, where she worked with Aditya Parameswaran and built DocETL, a stack for LLM-powered data processing; she will join Carnegie Mellon University as an assistant professor in 2027.
- With Hamel Husain she teaches a course on AI evals and wrote Evals for AI Engineers (O'Reilly).
- She was earlier an ML engineer and studied computer science at Stanford.
Key facts
- Research
- DocETL, LLM-powered data processing; Best of SIGMOD 2026, Best Paper at CHI 20261
- Carnegie Mellon
- Joins in 2027 as assistant professor in the Computer Science Department1
- Education
- PhD in EECS, UC Berkeley; undergraduate in computer science, Stanford1
- Evals
- Course on AI evals and the book Evals for AI Engineers (O'Reilly), with Hamel Husain1
Connections
Links
Sources
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