Education

PhD in Electrical Engineering (2020 - present), Indian Institute of Technology Gandhinagar

MTech in Electrical Engineering (2018 - 2020), Indian Institute of Technology Gandhinagar

Thesis: Design and Analysis of Deep Neural Networks for Image Synthesis, Relighting, and Small Object Detection

B.E. in Electronics and Communication Engineering (2013 - 2017), NMIT Bangalore

Experience

Intern at CTO Innovations Lab (TCS), Bangalore (May - Jul 2019).
Teaching Assistant at DA-IICT, Gandhinagar (2020-21) - Machine Learning
Teaching Assistant at Indian Institute of Technology Gandhinagar (2018-20) - Signals & Systems, Probability and Random Processes, 3D Computer Vision, and Electrical and Electronics Laboratory .
Intern at the Department of Electrical Engineering, Indian Institute of Science (IISc) Bangalore (May - Jul 2016).

"Graph Representation Learning", at IIT Gandhinagar
Delivered a talk on “Unveiling the black-box – Deep learning Using PyTorch” at the NASSCOM CoExchange Programme on Deep-dive into Decision Making in Computer Vision, IIT Gandhinagar, Nov 2019.
Delivered a talk on “An intuitive approach to understanding Deep Neural Networks” at TEQIP workshop on Applied DSP, IIT Gandhinagar, Nov 2019.

Awarded the Qualcomm Innovation Fellowship (QIF) 2023.
Awarded the prestigious Prime Minister Research Fellowship (PMRF) from MHRD, Govt. of India.
Awarded the President's, the Director's, and the Institute Gold Medal during the 9th Convocation at IIT Gandhinagar.
A project on Smart Solutions for Vehicle Electrification was selected to be presented at the Valeo Innovation Challenge 2018, Paris.
Selected among top 25 teams for a project on Smart Solutions for Vehicle Electrification at the BCIC Innovation Challenge 2018 under the Disruptive Technological Solution category (Jun 2018).