I’m currently part of the GenAI Safety team at LinkedIn. I focus on red teaming and benchmarking large language models (LLMs), where I build tools to support rigorous evaluation of generative AI systems. I also worked on Privacy-Preserving Machine Learning (PPML) Privacy-Enhancing Technologies (PETs) designing, implementing, and operationalizing metrics to quantify privacy risks associated with trained machine learning models and ways to mitigate this risk, contributing to safer ML deployment across LinkedIn's products.

Prior to that, I was on the Forecasting, Anomaly Detection, and Root Cause Analysis (FAR) team. I built benchmarking pipelines to accelerate algorithmic evaluation in the Greykite library and helped integrate it into internal platforms, enabling metric owners across LinkedIn to apply forecasting solutions to a wide range of business and system metrics.

A member of the Data Science Research and Productivity (DSRP) team, where I led ProML adoption efforts in the Data Science org.

Building B2B marketing and sales machine learning models as part of 6sense predictive intelligence engine.

Built machine learning solutions for in-house and external projects.

Intern at the RAN Implementation Section.