Experience

University of Southern California

• United States
• Higher Education
• 700 & Above Employee

• PHD Student

  • Sep 2020 - Present



Keysight Technologies

• United States
• Appliances, Electrical, and Electronics Manufacturing
• 700 & Above Employee

• Research And Development Intern

  • Jan 2020 - Jul 2020



Texas Instruments

• United States
• Semiconductor Manufacturing
• 700 & Above Employee

• Test Engineering Intern

  • May 2019 - Aug 2019



University of Michigan Radiation Oncology Flat Panel Imager Group

• Ann Arbor, MI

• Research Assistant

  • Jan 2018 - May 2019

  I worked with the Flat Panel Imager Group at the University of Michigan. Their work involves making a new x-ray imager using poly-silicon that decreases the amount of noise x-ray images have, producing better image quality at a much lower radiation dose to a patient. Higher frame rates of x-ray will also allow a wealth of new possibilities in x-ray technology that can help improve the progress of modern medicine. My work involved writing Systemverilog to program FPGA boards to interface with poly-silicon flat panel X-ray arrays and using UART and SPI communications to help aid research team in debugging X-ray communications. I also soldered components onto the lab's custom boards, and tested functionality using multimeters and oscilliscopes. Currently, my work involves working on an Arty embedded system to improve data transfer rates from the pixels in the array



Multidisciplinary Design Program

• United States
• Higher Education
• 1 - 100 Employee

• Maestro Virtual Conducting Algorithms Developer

  • Jan 2018 - Dec 2018

  The goal of Maestro 2018 is to build a virtual conducting system for the University of Michigan’s School of Music, Theatre, and Dance to assist new conductors in practicing their art. Traditionally, new conductors attend active classes where an instructor watches them conduct and provides feedback. To practice outside the classroom, they either practice silently in front of a mirror or must recruit the help of musicians. With Maestro, conductors practice with a computer-simulated ensemble, thereby eliminating the need for live musicians as well as the stress that comes with performing in front of them. New conducting students would use this system in tandem with a traditional classroom experience. Most of my work involved data collection of various music conductors gestures at various dynamic levels (loudness), articulation (style of sound), and tempos (beats per minute). Using this data of almost 14 conductors, I helped design signal processing algorithms to interpret those gestures using an Inertial Measurement Unit that measures rotation, acceleration, and gyroscope data. Most of my work involved using Matlab and Python/Pandas to write data analysis and apply transforms on sampled data. Later on, I worked on integrating the system to the apple ecosystem, converting the algorithms into real-time using swift to be processed using an apple iPhone's IMU and a mac computer for sound synthesis. The project was conducted through the univeristy's Multidsciplinary Design Program, a program designed to give students a chance to work on teams of people from various backgrounds, give technical presentations, papers, and work with a sponsor(in our case Dr. Andrea Brown) and their varying needs



HealthPals

• United States
• Software Development
• 1 - 100 Employee

• Software Engineering Intern

  • May 2017 - Aug 2017

  HealthPals is a healthcare technology company founded by Dr. Rajesh Dash and Sushant Shankar, working to combine medical science and data science to give doctors medical guideline driven treatments to their patients to reduce medical errors, with a primary focus in the cardiovascular health space. During my internship, I served as a liaison between the frontend and backend engineering teams in the development of the CLINT product(developed in python and react.js), designed to give value based decisions to clinicians at the point of care. I analyzed several thousand anonymous patient records while providing useful insights on patients' risk for cardiovascular disease by writing a Population Dashboard using javascript, python/pandas, and seaborn.