Hi! I am Amit

In Present:

• A second year Ph.D. student working at Video and Image Processing Laboratory (VIPER) at Purdue University.

• Prof.Edward J. Delp is advising my thesis, the research direction is to detect synthetic/fake speech, images, and videos and attributing the tools used to generate them. It is funded by DARPA under SemaFor program. 

• Work involves lot of signal processing, statistics, and developing computer vision and deep learning methods. 

Summary of Past Experiences:

• I have 2+ years of work experience in embedded software development and deploying end-to-end computer vision tools/APIs.  In past, I have visited, collaborated, and lead interdisciplinary projects in India, Japan, Canada, and USA.

Education: 

• [2021‑Present]     Ph.D. in ECE, Purdue University, advised by Prof. Edward J. Delp (straight A/A+)

• [2016‑2020]          B.Tech. in EE with Minors in CSE, IIT Gandhinagar, early graduated in 3.5yrs/4yrs (Director's Medal)

Work Experiences:

[Aug 2020‑Aug2021]   Embedded Software Engineer, Enphase Energy, (received excellence award globally)

• developed software to calibrate 3‑phase energy metering chips and APIs for cloud‑gateway data transfer

• the success of 3‑phase metering chip calibration enabled company to create products for 3‑phase high current systems, such as for commercial spaces, while APIs provided ability to control metering in systems installed in remote locations using cloud; this increased revenue by in immediate quarter and provided a way to solve metering installation issues without visiting sites

• Received Excellence Award for outstanding work in Q4, 2020

[Jan 2020‑Aug 2020]  Research Intern, Rakuten, (received full‑time Applied Researcher position)

• developed computer vision and deep learning methods for outfit recommendation, and extracting information from images of outfit size‑chart

• in a month, increased traffic on company’s e‑commerce website by recommending cross‑domain users similar product using outfit images and it’s size chart; ideated, build & presented a new product XYZ: interactive AI assistant for tumor visualization to CEO India

[May 2019‑Aug 2019] Research Intern, Creative Interactions Lab, Canada, (publication)

• learned fabrication tools, and with mobile interaction experts analyzed and solved issues with exciting computer vision based back‑of‑device mobile interactions

• created and user‑studied novel back‑of‑device mobile interactions using off‑the self sensors, outcomes show promising potential of using tangible sensors to improve mobile interaction

[May 2018‑Jun 2018] Research Intern, JAIST, Japan, (publication)

• performed quantum mechanical calculations for Disiloxane to theoretically predict its chemical properties

• wrote bash scripts for distributed computation on Cray XC40 supercomputer to find linearization barrier of disiloxane, a chemical of extreme importance in cosmetics