Shreya Shankar — Machine Learning Engineer and AI Researcher
Shreya Shankar is a machine learning engineer and a PhD candidate in computer science at the University of California, Berkeley. She studies how to build reliable AI systems with a focus on large language models (LLMs), data quality, and clear evaluation methods.
Research Focus
Shreya designs systems that help you use AI in data‑centric work. She looks at how to make AI tools stable, clear, and safe to use. Her main research areas include:
- LLM evaluation and alignment with human choices
- Data quality in data‑centric AI systems
- Tools for building reliable machine learning pipelines
- Human‑in‑the‑loop AI systems
Her work connects theory with real-world AI use.
Research and Publications
Shreya has published work at top computer science venues, including:
- SIGMOD
- VLDB
- UIST
One well‑known paper is:
- “Who Validates the Validators?” — a study on how to align LLM evaluation systems with human judgment.
