About Me

I am a Principal Applied Scientist at Microsoft with over a decade of experience in Artificial Intelligence and Deep Learning. During my career at Microsoft, I have contributed to AI initiatives across Microsoft Bing, Microsoft Turing, Microsoft Weather, and Microsoft Research, including Microsoft's flagship LLM-based AI assistant, Copilot, formerly known as Sydney. I currently lead a team of data scientists and machine learning engineers powering Bing's Visual Search and image recommendations. My work and research span large language models, multimodal AI, natural language processing, computer vision, dialogue systems, generative models, and recommender systems.

Before joining Microsoft, I was a Research Scientist at Maluuba, an AI startup acquired by Microsoft in 2017, where I worked on task-oriented dialogue systems and natural language generation. I earned an M.Sc. in Computer Science from the University of Toronto, where I studied with the university's Deep Learning and Machine Learning group under Prof. Ruslan Salakhutdinov. My thesis, Action Recognition and Video Description using Visual Attention, explored recurrent visual-attention models for video understanding. I earned a B.Tech. in Computer Science and Engineering from IIT Kanpur.

Earlier, I was a research intern at Cornell University, where I worked with Prof. Ashutosh Saxena on learning context-driven trajectory preferences for robots. I have published research with leading AI academics, including Ruslan Salakhutdinov, Yoshua Bengio, Ashutosh Saxena, Thorsten Joachims, and Graham Taylor, and hold several patents in AI.