# Shreya Shankar

> Shreya Shankar is a PhD candidate at UC Berkeley's EPIC Lab building AI-powered data systems that are reliable and cost-efficient. A Stanford-trained engineer who worked at Google Brain and Meta, she bridges academic research and industry practice through DocETL (an open-source LLM data processing system with 3.5K+ GitHub stars used by 30+ S&P 500 companies), an O'Reilly book on AI evals co-authored with Hamel Husain, and a Maven course that has reached 4,500+ professionals. She is on the CS faculty job market and gave a faculty candidate talk at Carnegie Mellon in March 2026.

- **Role:** PhD Candidate at UC Berkeley EPIC Lab
- **Organizations:** UC Berkeley, Stanford University, Google Brain, Meta, Maven
- **Nationality:** American
- **Education:** PhD, EECS (Computer Science), UC Berkeley, B.S. & M.S., Computer Science (Systems & AI), Stanford University
- **Known for:** MIT Rising Stars in EECS 2025, NDSEG Fellowship 2022 (National Defense Science & Engineering Graduate Fellowship), Bridgewater AI Labs Fellowship

## Career timeline

- **2015** — Enrolled at Stanford University for B.S. in Computer Science
- **2018** — Helped run SHE++ at Stanford, a nonprofit empowering underrepresented minorities in tech
- **2019** — Completed M.S. in Computer Science at Stanford with concentrations in systems and AI
- **2019** — Worked as ML engineer at Google Brain
- **2020** — Worked as ML/data engineer at Meta (Facebook)
- **2020** — Started PhD at UC Berkeley in Data Systems & Foundations, EPIC Lab, advised by Aditya Parameswaran
- **2022** — Awarded NDSEG Fellowship (National Defense Science & Engineering Graduate Fellowship)
- **2022** — Published 'Bolt-on, Compact, and Rapid Program Slicing for Notebooks' at VLDB
- **2023** — Published 'Operationalizing Machine Learning: An Interview Study' with 18 ML engineers
- **2023** — Published 'Moving Fast With Broken Data' (deployed at Meta)
- **2023** — Published 'Towards Observability for Production Machine Learning Pipelines'
- **2024** — Published SPADE paper at VLDB 2024; deployed in LangSmith across 2,000+ pipelines
- **2024** — Won Best Paper Honorable Mention at UIST 2024 for 'Who Validates the Validators?'
- **2024** — Launched AI Evals For Engineers & PMs course on Maven with Hamel Husain; became highest-grossing Maven course
- **2024** — DocETL open-sourced; reaches 3,500+ GitHub stars and 30+ S&P 500 company deployments
- **2025** — Named MIT Rising Stars in EECS 2025
- **2025** — DocETL published at VLDB 2025
- **2026** — O'Reilly book 'Evals for AI Engineers' published (Spring 2026), co-authored with Hamel Husain
- **2026** — Faculty candidate talk at Carnegie Mellon University (March 18, 2026)
- **2026** — On CS faculty job market; final year of PhD

## Achievements

- MIT Rising Stars in EECS 2025
- NDSEG Fellowship 2022 (National Defense Science & Engineering Graduate Fellowship)
- Bridgewater AI Labs Fellowship
- Best Paper Honorable Mention at UIST 2024 for 'Who Validates the Validators?'
- DocETL: 3,500+ GitHub stars, deployed by 30+ S&P 500 companies and public defenders in two California counties
- AI Evals course on Maven: highest-grossing course on platform; 4,500+ professionals from 500+ companies
- SPADE system deployed in LangSmith across 2,000+ pipelines
- 25,000+ subscriber mailing list
- O'Reilly book 'Evals for AI Engineers' (Spring 2026)
- Papers published at VLDB, SIGMOD, UIST, CHI, CSCW - top venues across two fields

## Latest updates

- **2026-04** — Final year of PhD at UC Berkeley; actively on CS faculty job market
- **2026-03** — Gave faculty candidate talk at Carnegie Mellon University on 'Building Effective Unstructured Data Systems'
- **2026-01** — O'Reilly book 'Evals for AI Engineers' published (Spring 2026), co-authored with Hamel Husain
- **2025-12** — Named MIT Rising Stars in EECS 2025
- **2025-06** — DocETL paper published at VLDB 2025; DocETL exceeds 3,500 GitHub stars
- **2024-10** — Won Best Paper Honorable Mention at UIST 2024 for 'Who Validates the Validators?'
- **2024-08** — AI Evals For Engineers & PMs course on Maven reaches 4,500+ students from 500+ companies

## Links

- Website: https://www.sh-reya.com/
- LinkedIn: https://www.linkedin.com/in/shrshnk/
- Twitter/X: https://x.com/sh_reya
- GitHub: https://github.com/shreyashankar

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Profile page: https://yespress.io/shreya-shankar
Published by YesPress — https://yespress.io
Last updated: 2026-04-20