2017 - Now
I am an Applied Research Scientist at Amazon working on problems cross-cutting several domains including Natural Langauge Processing (NLP/NLU), Computer Vision, Clickstream and Behavioral analytics.
Currently Leading effort on the building ML solutions to improve Seller experience in Partner Support and Solutions (PSAS) org
2016
I was interning at Akamai as a machine learning scientist in the ghost security team.
Helped them preface their rule based
WAF with a suite of positive and negative security models bringing over 50x speed-up per request (1ms vs 20microsecs)
2015 - 2017
As a grad student at UC San Diego, my research focused on problems related to Robotics and Computer Vision (Autonomous driving, health robotics), and interactions based on Vision/NLP (Scene description, Visual question answering)
Worked as a Research Assistant in the Contextual Robotics Institute solving challenges to aid in detection of motion in the scene while the camera is itself mounted on a fast moving platform like cars/drones.
2014 - 2015
Worked as a Software Engineer in the Android Advanced Solutions R&D group.
Built several features into the Samsung calendar app including D-Day, Rich Media events and Smart events for subscription calendars. Spent sometime at the Samsung Headquartes optimizing apps for Folding dual screen prototypes.
2010 - 2014
B. Tech from National Institute of Technology, Surat. My research focused on problems at the intersection of Computer Vision and Perception.
Worked as a Research Assistant in the Computer Vision lab where I generated dense 3D reconstructions by fusing depth images from Kinect sensor as well as the RGB camera and accelerated the processing by using a CUDA pipeline. The project was funded by TEQIP II (Govt. of India)
