I am currently core-team member at LatticeFlow working on bridging the gap between research and deployment by helping others build and deploy trustworthy and robust machine learning models.
I completed my graduate studies at ETH-Zurich, exploring research areas at the intersection of Computer Vision, Machine Learning and Autonomous Driving. I was fortunate to collaborate with people at Andreas Krause's group on learning representations for images with hierarchical labels, Luc van Gool's group on autonomous driving and Roland Siegwart's group on robotics. I spend my time contributing to open-source software.
Previously, I was involved in autonomous driving research at nuTonomy (an Aptiv company) and AMZ Driverless. During my undergraduate studies, I researched under James Davis and Rajan Vaish during my sophomore year. I spent a wonderful summer of 2016 collaborating with Wolfram Burgard at the University of Freiburg, Germany funded by a DAAD scholarship.
Master of Science, Robotics, Systems and Control, 2019
ETH Zurich, Switzerland
Bachelor of Technology, Computer Science, 2017
VIT University, India
June 2021: I am extremely excited to join LatticeFlow as a core member working towards helping others build and deploy trustworthy and robust AI
April, 2020: Paper accepted @CVPR 2020, DiffCVML!
My research will be applied and scaled a real-world system for automated species identification
Computer Vision and Pattern Recognition (CVPR), DiffCVML, 2020
Master Thesis, 2019
IEEE Intelligent Vehicles (IV), Paris 2019
arXiv preprint, 2017
IEEE International Conference on Robotics and Automation, Singapore 2017
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)-W, S. Korea 2016