About
I am a Science Lead and Senior Applied Scientist at Amazon Web Services (AWS), working on Agentic AI. My current focus is on building memory, context, and personalization systems for AI coding agents.
My research interests span large language models, code generation, AI agents, and interactive data exploration. I have published in top venues including SIGMOD, VLDB, ICDE, and KDD.
Previously, I worked on data exploration and summarization systems, developing novel approaches to help users understand and interact with large-scale datasets.
News
Publications
AI for Code: From Language Models to Coding Agents
This paper covers the evolution of AI-powered code generation, from early language models to modern agentic systems capable of autonomous software engineering tasks.
[Sample] Interactive Data Exploration with Smart Drill-Down
A framework for interactive exploration of large datasets using intelligent drill-down operations.
[Sample] Summarizing Large-Scale Data Cubes with Factorization
Novel factorization techniques for generating compact summaries of high-dimensional datasets.
Talks
AI for Code: From Language Models to Coding Agents
A comprehensive overview of the trajectory from language models to coding agents, covering code generation, program repair, test generation, and autonomous software engineering.
[Sample] Data-Driven Storytelling for Enterprise Analytics
Techniques for automatically narrating analytical insights from complex enterprise datasets.