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Shuvam Keshari

MS ECE @ The University of Texas at Austin
BS EE & CS @ IIT Kharagpur

Download Resume (Power Electronics) Download Resume (Generative AI)

About Me

Hi, I'm Shuvam Keshari, a Systems Engineer at Texas Instruments, currently working on charging products. I'm also an independent researcher on topics related to Generative AI.

My experience in this weird-albeit-rare combination of hardware and software fields stem from the inspiring work of 2 visionaries. First, Steve Jobs, (whose 2007 iPhone launch video I must have watched hundreds of times) who said 'Those who are serious about their software, make their own hardware'. And second Elon Musk, whose maniacal sense of urgency created 2 impossible companies: Tesla and SpaceX. Over the years I came to firmly believe that most problems in life have an engineering solution involving both hardware and software.

To this effect, I graduated from the University of Texas at Austin with a Master's in Electrical and Computer Engineering with a focus on Power Electronics and Computer Vision.

(More specifically, in those 2 years of graduate studies, I was a graduate teaching assistant who managed and re-designed the Power Electronics Lab (ECE462L/ECE394) for 40 senior/graduate students under the supervision of Dr. Brian Johnson. I was also advised by Dr. Dhiraj Murthy and Dr. Anna Wilkinson on a public health related Machine Learning project based on social media data. Prior to joining UT, I had been implementing my expertise in these fields in developing really cool cars as an employee of Jaguar Land Rover)

I aspire to use my skillset to develop products that realize my vision of a greener tomorrow through sustainable transportation where autonomous and connected cars are a common sight. I dream of humanity reaching a type II Kardashev civilization soon where a Matrioshka brain would possibly become a reality!

I hope you can learn a little more about me here. Please feel free to reach out to me with any additional questions that you might have!

Industry & Research Experience

UT Austin

Generative AI Researcher

  • Check out my Google Scholar profile here for my research work!

Texas Instruments

Systems Engineer

  • Building high efficiency low power chargers for personal electronics

UT Austin Power Electronics Lab

Graduate Teaching Assistant

  • Managing and re-designing the Power Electronics Lab (ECE462L/ECE394) for 40 senior/graduate students

Texas Instruments

Systems Engineering Intern

  • Optimizing performance by comparison of GaN and Si devices using TI's latest gate driver evaluation module for notebook charging application: USB-C Power Delivery at 140W-240W @600kHz with 5A input
  • Designing PCB co-layout for 2 different charging controllers

UT Austin CML

Graduate Research Assistant

  • Developing Vision-based computational models/pipelines to identify mechanisms underlying electronic nicotine delivery system (ENDS)-related social media exposure and ENDS use among young adults and examine the role of acculturation as a moderator of these mechanisms
  • Investigating social media data using Oracle Cloud (scraping), and deploying custom Yolo and BERT models (inference) to explore multi-modal ML techniques
  • Supervising undergraduate research assistants working on this project as part of the Computational Media Lab

Jaguar Land Rover

Power Electronics Software Engineer

  • Invention disclosure filed for electric vehicle charging hardware and software
  • Simulated 11kW and 22kW on-board charger circuits including loss and thermal modeling using tools like PSIM, LTSpice, and MATLAB
  • Closely collaborated with teams in the UK to deliver major topologies including totem-pole PFC and resonant CLLC ensuring ZVS & ZCS operation
  • Investigated Computer Vision research and development projects like driving assist technology and fault prediction using ML for validation

Webber Electrocorp (startup)

Founding Chief Power Electronics Hardware Engineer

  • Helped launch the most well-funded campus startup in Sept. 2019
  • Built initial 3kW EV charger prototypes for the startup and mentored/recruited several candidates
  • Designed modular power and driver boards for implementing 400W and 1kW BLDC motor controllers
  • Developed the initial website and supervised public relations for the company

ITC Limited

Operations Research Intern

  • Developed a comprehensive data model for “Mushroom Cultivation in Tobacco Barn” for generating an affordable and alternate income for the tobacco farmers in rural areas of South India
  • Optimized and established a business opportunity that could be beneficial for the company, farmers, and society at large involving multiple stakeholders

Education

The University of Texas at Austin

Aug 2022 - May 2024

Master of Science in Electrical and Computer Engineering

Indian Institute of Technology, Kharagpur

July 2016 - July 2020

Bachelor of Technology in Electrical Engineering (major) and Computer Science (minor)

Research Projects

Charger Design for light EVs

Bachelors dissertation advised by Dr. Dipankar Debnath

Designed an efficient AC charger for light electric vehicles using interleaved boost PFC followed by PSFB topology. Also designed additional auxiliary power supplies using the flyback and buck converters, fabricated and tested the hardware. Was honored with the Systems Society award for the best thesis.

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Computer Vision assisted Emotion Analysis

Supervisor: Dr. Manas K Mandal, Dr. Priyadarshi Patnaik

As a Computer Vision Research Assistant, I designed an algorithm for measuring facial asymmetry and emotion incongruity using Convolutional Neural Networks. Enhanced accuracy of Facial emotion recognition model from 70% to 87% using custom dataset and Amazon Web Services. Also developed a Graphic user interface for easy deployment.

View Project

Skills and Specializations

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