👩🏽💻 About Me
Welcome! I'm Shreya Shankar. I am completing my PhD in data management systems with a human-centered focus. I study machine learning (ML) and artificial intelligence (AI) engineers and how to build better tools for them. I am fortunate to be advised by Dr. Aditya Parameswaran at UC Berkeley. Go Bears! 🐻
Prior to my PhD, I was the first ML engineer at Viaduct, did research engineering at Google Brain, and software engineering at Facebook. Before all of that, I did my BS and MS in computer science at Stanford. Go Trees! 🌲
Research
My work focuses on addressing data management challenges in production machine learning pipelines with a human-centered approach. I'm working on the following:
Data Management Systems
- Maintaining LLM-generated memories over streams of unstructured data
- Automatically synthesizing data quality assertions for ML and LLM pipelines
- Real-time, approximate monitoring of ML pipeline performance (e.g., accuracy) with feedback delays
Human-Computer Interaction
- Interfaces for managing the LLMOps lifecycle of evaluation, monitoring, and fine-tuning
- Low-code tools to build LLM pipelines with self-updating prompts
If you are interested in working on any of these projects or collaborating, please contact me via email. I am open to undergrads who have taken a databases course and/or a graduate level machine learning course. If you go to UC Berkeley, please mention that in your email. If you have experience working as an ML engineer in industry (even as an intern), please mention that as well. I apologize if I am unable to respond to your email in a timely manner.
Contact
To reach me, you can email shreyashankar@berkeley.edu. I am also on Twitter and Github.
My (typically-outdated) CV is available for download here.