Prateek Gaddigoudar Email & Phone Number

I developed a keen interest in Machine Learning and Computer Vision when I was researching “Pedestrian Detection and Tracking using Particle Filtering” during my undergraduate program. The idea that accumulated data of pedestrians could be used to make predictive models for their positions amazed me-- so much so that I ended up publishing a paper on it. (https://ieeexplore.ieee.org/document/8229782)Given my knack for Physics and Mathematics, I was driven to major in Electronics and Communication for my undergraduate degree. But even then, I was inclined towards real world problems.I interned with Bosch and then I joined them full time as a Software Engineer for 2 years. I was primarily responsible for design, development, and testing of functional units in Powertrain ECU related to communication of diagnostic data. During my stint with Bosch, I also got to put my coding skills (C, C++, Python) to use. But to get a thorough understanding of Machine Learning, Deep Learning and their application in autonomous vehicles, I decided to pursue my Master’s from Carnegie Mellon University, Pittsburgh.I have been working as a Computer Vision and Deep Learning Intern at Biomedical Image Guidance(BIG) Lab situated in Robotics Institute, CMU under the mentorship of Dr. John Galeotti since April 2021. My work here includes carrying out tasks such as Segmentation, Detection and Tracking using several Deep Learning and Graphical Models on Ultrasound images. The experience has been an enriching one. I have been fortunate to study and TA under the finest professors and work alongside some of the best minds. I aspire to continue making meaningful contributions in the domains of AI/ML or Software development in the long run with my skills and expertise.