I am currently an Applied Scientist at Amazon Web Services (AWS). My research interests lie in the intersection of Machine Learning, Computer Vision, Robotics, and Natural Language Processing, with a focus towards building generative models for real-world applications. I completed my Ph.D. degree from the Department of Computer Science and Engineering at UC San Diego, where I worked with Prof. Henrik I. Christensen. Prior to that, I obtained an M.S. degree in Electrical and Computer Engineering from UC San Diego, and a B.E. degree in Electrical Engineering from Indian Institute of Engineering Science and Technology (IIEST) Shibpur.

News

• Jan 2024: I started working full-time as an Applied Scientist at AWS!
• Jul 2023: Our paper about smart home robots operating in real-world environments is accepted at IRC 2023!
• Jul 2023: Our paper on multi-turn image retrieval is accepted at ICCV 2023! (acceptance rate - 26.2%)
• Mar 2023: I will be returning to Amazon as an Applied Scientist Intern in Summer 2023.
• Jun 2022: Our paper on reward-shaping for object-goal navigation is accepted at 3rd Embodied AI Workshop, CVPR 2022!
• Mar 2022: I successfully passed my Thesis Proposal Exam and am now a Ph.D. candidate!
• Mar 2022: I will be joining Amazon as an Applied Scientist Intern in Summer 2022.
• Mar 2021: I will be joining Google as a Research Intern in Summer 2021.
• Oct 2020: Our paper on object-goal navigation is accepted at CoRL 2020! (acceptance rate - 34%)
• Feb 2020: Our paper on semantically-augmented gaze detection network is accepted at CVPR 2020! (acceptance rate - 22.1%)
• Nov 2019: Presented paper at IROS 2019 in Macau, China!
• Sep 2019: I started my Ph.D. journey in CSE Department, UC San Diego.
• Jun 2019: Our paper on place categorization is accepted at IROS 2019!
• Jun 2019: I succesfully defended my MS thesis!