I develop multi-agent AI systems and train their language models.

At Salesforce, I work on AI agent systems including SlackAgents, AgentLite, CodeGenie, SWE Agents, and WebAgent.

For models, I've led post-training of Retroformer, a genertive critic model for self-reflection. I've worked on xLAM, a family of state-of-the-art language models for function calling. I conducted research on synthetic data generation pipeline for APIGen and AgentOhana.

For products, I've led delevopment of AIOps for cloud incident causation analysis, enhancing operational efficiency on Salesforce Availability Cloud. I worked on function call and structured output API endpoints of Salesforce xLAM services.

I did my Ph.D. and M.S. in Machine Learning at CMU, focusing on model interpretability, where I was advised by Dr. Kun Zhang.