I’m a Senior Machine Learning Engineer at Qualcomm Technologies Inc. in San Diego, CA, working on end-to-end HW efficient algorithms and System Design for computer vision problems which include 6DoF head-pose-tracking, and 3D-Reconstruction. I graduated from Penn State University focusing on visual perception (object recognition & localization, segmentation), 3D Vision, and Affective Computing/Emotion Modelling, advised by Prof. C. Lee Giles and Prof. Dan Kifer. During the summer of 2020, I interned with Qualcomm San Diego's Camera team, focusing on scene flow estimation. I earned my bachelor's degree in ECE from Delhi College of Engineering, India (2019) where I was advised by Prof. Rajesh Rohilla. During my bachelor's I spent a semester as a visiting researcher working at the computer vision lab at the University of Manitoba, mentored by Prof. Yang Wang. Earlier, I also visited Prof. Vinay Namboodiri at IIT-Kanpur and Prof. Madasu Hanmandlu at IIT-Delhi as a research intern.
June' 2021 Graduated from Penn State and started working at Qualcomm Technologies Inc. as a Machine Learning Engineer.
March' 2021 Full paper accepted to CVPR 2021 - OmniCV Workshop.
Aug' 2020 Full paper accepted to ACM-MM 2020 - HuMA Workshop.
Aug' 2020 Full paper accepted to ECCV 2020 - BEEU Workshop.
Aug' 2020 Finished internship with Qualcomm as a computer vision intern.
May' 2020 Really excited to start my summer internship at Qualcomm as a computer vision intern.
Feb' 2020 Invited as one of the Grantees for Google AI - Impact Challenge Summit.
Feb' 2020 Paper accepted to LREC-2020.
July' 2019 Work accepted to Journal of Modern Physics.
July' 2019 Paper accepted to AVSS-2019.
August' 2018 Wonderful summer spent at Computer-Vision lab, University of Manitoba.