Published multiple conference papers such as 'Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation' and contributed to the academic community through reviewing/PC service for conferences like NeurIPS, ICML, AIStats, ICLR, AAAI, UAI, SODA, etc.
Research Experience
Currently working at Facebook on Online Algorithms, Machine Learning, and Large Language Models with applications to Safety and Integrity, Online advertising, Recommender systems, and Generative AI. Previously held positions at Adobe, IBM Almaden Research Center, and Microsoft Research, NYC.
Education
Ph.D. in Computer Science from the University of Maryland; M.S. also from the same department; B.Tech (Hons) in Computer Science with a minor in Operations Research from Indian Institute of Technology, Madras.
Background
Research interests span Algorithms, Machine Learning, Data Mining, and Market Design. Particularly interested in research that spans the full spectrum from theory to practice and eventual integration into large-scale complex systems.
Miscellany
Spent childhood days in the beautiful city of Bangalore, India, along with his brother.