Hello! I’m a Data Scientist at Amazon in the Proactive Security Organization, where I build AI and LLM-based solutions for Application Security. My recent work focuses on developing retrieval-augmented classification pipelines and evaluation frameworks for model robustness.

Previously, I was a Data Scientist at Microsoft as part of the Experimentation for Windows (EFW) team. My work focused on understanding how different features impact user experiences through causal analysis, including both causal discovery and causal inference. I also collaborated with various teams at Microsoft and our customers to provide insights and solutions in causal analysis.

I hold a Master’s degree in Electrical and Computer Engineering from Purdue University, where I researched neural population dynamics and speech decoding under Prof. Joseph Makin. During my time there, I also taught Python programming as a Graduate Teaching Assistant. I earned my Bachelor’s degree in Electrical Engineering from the Indian Institute of Technology, Madras.

Earlier, I worked in the Bing Ads team at Microsoft, developing machine learning pipelines to detect and reject editorial policy violations and identify threats like fraud and phishing in text ads.