ABOUT ME

I am currently pursuing a Master of Science in Engineering degree in Electrical Engineering from the University of Pennsylvania, graduating in May 2021. My specialization is in Information and Decision Systems (Data Science, Statistics, and Machine Learning). I have taken a challenging course-load including classes such as Machine Learning, Information Theory, Deep Learning, Data Mining, Statistics for Data Science, Optimization, Reinforcement Learning, Forecasting Methods for Management, and Project Management.

I am passionate about Information Processing involving data of any kind. I am highly proficient in C, C++, R, Python, Perl, and MATLAB. I have extensive research and professional experience in Software Development, Machine Learning, Data Science, Data Mining, Computer Vision, Data Analysis, Deep Learning, Reinforcement Learning, Time Series Forecasting, Database Management, Embedded Systems, Project Management, Computer Networks, Information Theory, and Signal Processing.

I have over a year of full-time work experience before my master's program. I had the privilege to work at Bosch as a Software Engineer in the Embedded Base Software team from July 2019 - July 2020 where I delivered over ten projects for OEMs like General Motors, Subaru, Renault, and GWM for their Park Assist and Park Pilot modules.

I was a co-founder of allai, an insur-tech startup, in Montreal, QC. As an AI Engineer in Computer Vision, I was in-charge of the team which developed computer vision models with a database of hundreds of thousands of car images.

For the final semester of my undergraduate program in 2018, I traveled to Canada to work at the Centre for Intelligent Machines at McGill University as a Research Trainee in Computer Vision. My research project involved the segmentation of hockey video sequences into shots and removal of spurious information using machine learning.

As a Summer Research Intern in 2017, I had the pleasure to work at NIMHANS (the premier Neurosciences institute in ndia) on a novel research project at the intersection of Machine Learning and Neuroscience. I designed a novel seizure detection and epileptic lobe localization system using heavily skewed MEG data.

I completed my undergraduate degree at Manipal Institute of Technology in Electronics and Communication Engineering (minor in Signal Processing and AI). During my undergraduate program, I gained invaluable experiences from my internships at Defence Research and Development Organization, and Maruti Suzuki.