Paper on Responsible Adaptation of LLMs for RecSys accepted at ACM TORS'2025; Paper on Dynamic Personalization accepted at SIGIR-AP'2025; Project on Cold-Start Audiobook Recommendations using Cross-Domain Signals accepted at Graph Workshop at AMLC'25 (Amazon ML Conference); awarded for exceptional volunteer services by IEEE in December 2024; awarded RecSys'24 Travel Grant and selected for Student Volunteer position in August 2024; started as a Student Organizer at RAISE in January 2024; completed visiting position at MPI-SP with Asia Biega in September 2023.
Research Experience
Research intern at MPI-SP before joining the PhD program, supervised by Asia Biega, working on GDPR's Data Minimization Principle and Federated Learning; joined Amazon Music as an Applied Scientist II Intern under the mentorship of Amit Goyal in June 2025.
Education
PhD in Computer Science from Paul G. Allen School of Computer Science, University of Washington, advised by Chirag Shah; Master's in Computer Science & Engineering from IIT, Ropar, advised by Shweta Jain and Sujit Gujar.
Background
Research interests include the philosophy of unknown unknowns, designing proactive frameworks to anticipate emergent behaviors and identify opportunities and risks in uncertain environments. Associated with Infoseeking Lab and RAISE, advised by Chirag Shah.
Miscellany
Interests include teaching and participating in academic activities such as serving as a reviewer for IASEAI International Association for Safe and Ethical AI Conference 2026, Student Volunteer Chair for CHIIR'26, and more.