Semantic search, query understanding, retrieval, and ranking for Apple Mail.
I am a Machine Learning Engineer at Apple, where I lead semantic search for iCloud Mail Intelligence, focusing on query understanding, retrieval, and ranking. I completed my Master’s in Computer Science at the Georgia Institute of Technology, specializing in Machine Learning.
I am interested in understanding and improving large language models, efficient machine learning, and building intelligent systems that work in the real world. My research has explored attention mechanisms in LLMs, explainable AI, and robotics.
Previously, I was a Machine Learning Engineer Intern at Apple. Before Georgia Tech, I worked as a Senior Software Development Engineer at BrowserStack and as a Software Engineer Intern at Swift Robotics, building autonomous disinfection robots.
If you would like to chat about research, engineering, or anything else, feel free to drop me an email.
Experience
Mail categorization, label quality, and LLM-based event extraction.
Machine learning, data pipelines, customer engineering, and visual testing tools.
Autonomous navigation, sensor fusion, and mobile applications for disinfection robots.
Selected Publications
Education
Selected Projects
Ported the Fetch robot stack to Stretch and built a ROS task executor chaining 11 skills for end-to-end pick-and-place.
Understanding adversarial attacks in multi-agent reinforcement learning through interestingness elements and reward decomposition.
A Chrome extension for manual and semi-automated visual testing using the Percy platform.
Awards
- JN Tata Scholar, 2023
- Team Lead & Winner, Smart India Hackathon 2020


