About Me
I am a Postdoctoral Scholar in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. I am fortunate to be advised by Tim Althoff and work alongside the amazing researchers in the Behavioural Data Science Lab. My research interests lie in the domains of data mining and language models. Specifically, I focus on modeling multi-modal, time-series, and graph data using large-language models (LLMs). I have also delved into deep generative models, graph-based models, and temporal point processes, for sequential data mining and recommendation systems.
Before joining UW, I was an AI Research Scientist at IBM Research, New Delhi, India. I completed my Ph.D. from the Department of Computer Science at the Indian Institute of Technology Delhi. At IIT-D, I was advised by Prof. Srikanta Bedathur and collaborated extensively with Prof. Abir De. Even before, I received my bachelor's in Computer Science and Engineering from the Indian Institute of Information Technology (IIIT) Jabalpur. I have also worked as an Applied Scientist-Intern at Amazon, and as an R&D-Intern at Siemens Healthineers.
News
- [Apr '23] Big move! Joined University of Washington as a Postdoctoral Scholar!
- [Jul '23] IIT Delhi's Nominee for SIGKDD and ACM India PhD Dissertation Awards.
- [Oct '22] Featured as AI Expert in IndiaAI! By NASSCOM and Ministry of IT, Govt. of India.
- [Oct '22] Presented my research at GeorgiaTech and Univ. of Michigan, Ann Arbor.
- [Jun '22] Adjudged as Challenger (Top 3) in NASSCOM AI Gamechangers of India 2022!
- [Oct '21] My work received the Outstanding Doctoral Paper award at AI-ML Systems 2021!
Industry Experience
I worked as a Research Scientist at IBM India Research Lab (IRL), New Delhi. Our goal is to understand the properties that are necessary for an automated business intelligence system.
I worked with the ML team on time-sensitive reward distribution for users in Amazon Pay using their transactions and purchases. The project involved learning the temporal relations between different user payment records.
I worked on designing ML models for improving image quality during radiography and fluoroscopy in Siemens X-ray devices. I also contributed to the initial phase of a project to design a probe for autonomous ultrasonography during telemedicine. Tech-Intern Rating: 1 (Highest Possible)
Selected Publications (View All)
About Me (The real one!)
Wow! You're still reading? Since you've come all the way here, let me tell you some interesting stuff about me. I grew up entirely in Delhi (the city of Smoke 😅) but was born in Allahabad (the city of Prime Ministers 😎). Before I went on with my seemingly never-ending degree-grabbing spree, I was a dorky student at DPS Indirapuram (a Dipsite!), an even dorkier student at Cambridge School Noida, and even dorkier at the school before (got the point?).
During my amazing four years as an undergrad, I was a member of the ABU Robocon team that was placed 9th all over India (our bots played badminton!), a rhythm guitarist in the institute rock band, a member of the counseling committee (never did anything here), and organizer of many unsung fests and clubs. I have, on occasion, also been known to do something useful there such as designing sensor network protocols and as an assistant for maintaining the networking and internet infra of the entire campus.