I'm a Machine Learning Engineer at Bloomberg AI, where I work on machine learning for real-time bond valuation and fixed-income pricing (we are IBVAL!).
I earned my M.S. in Computer Science from Virginia Tech, where I was advised by Dr. Ismini Lourentzou as part of the Perception and Language (PLAN) Lab. My award-winning thesis, "Commonsense for Zero-Shot Natural Language Video Localization," explored the integration of commonsense knowledge into video-language understanding. At Virginia Tech, I was also affiliated with the Sanghani Center for Artificial Intelligence and Data Analytics. I completed my Bachelor's in Computer Science (Data Science specialization) from PES University, India.
My research interests span Multimodal Machine Learning and Reasoning, especially at the intersection of language and vision, and I'm now expanding into machine learning applications within the financial domain.
I'd love to connect and chat about multimodal ML, reasoning systems, or financial AI — feel free to reach out!
Invited to serve on the Program Committee for the Workshop in AI and Finance at ECAI 2025! [website]
My work on commonsense for video localization is accepted to AAAI 2024!
Joined Bloomberg AI as a Machine Learning Engineer!
Defended my thesis and graduated from Virginia Tech!
Invited to present at the Amazon - VT Initiative for Efficient and Robust Machine Learning event.
My thesis work won the Paul E. Torgersen Research Excellence Award! [website] [announcement]
Received the Grace Hopper Celebration (GHC) 2022 Student Scholarship - Thanks CS@VT!
IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020)
International Conference on Advanced Informatics for Computing Research (ICAICR 2020)
International Conference on Smart City and Emerging Technology (SCEECS 2020)
International Conference on Computational Intelligence and Data Science (ICCIDS 2018)
Program Committee: AIFin @ ECAI'25
Reviewer: ICLR'24, ACM PETRA'23, EMNLP'22