I am a budding electromechanical engineer exploring the world in pursuit of knowledge and always open to professional development opportunities. If you would ask me to summarize my journey in one word, I would say it is "unconventional" in how diverse it is. I am currently working as a Senior Product Engineer at Tesla in the Bay area.

I started my academic endeavors as an undergraduate at the Indian Institute of Technology Kanpur, where I pursued Aerospace Engineering as a major and Nuclear Engineering as a minor. During my junior year, I got an opportunity to work in collaboration with National Research Tomsk University, Siberia, Russian Federation, on a project related to heat exchangers using multiphase fluids and gradually I understood that all of the sciences are intertwined within themselves. 

To be at this meeting junction, I came to the United States of America to expand my horizon of learning. I pursued my Ph.D. '23 at the University of Wisconsin-Madison in the Department of Mechanical Engineering where my research work dealt with three-phase Alternating current liquid metal vortex energy harvesting magnetohydrodynamic generators often borrowing concepts from Electrical engineering. This led me to work towards obtaining M.S. in Electrical and Computer Engineering at the University of Wisconsin Madison in 2020. 

Apart from my Ph.D. research, I also explored new avenues of developing technologies. As a hobby, I started working in the fields of machine learning and data analytics and tried to solve real-world problems. Recently, I built a breast cancer prediction algorithm to forecast the time of tumor recurrence. This work is published and is available to read here. In addition, I also worked on developing an image recognition system using a deep neural network by training it with the CIFAR-10 dataset. Apart from that, I worked on various projects of image processing using MATLAB. In correspondence with the Wisconsin Wireless and Networking Systems Laboratory at the Department of Computer Science, University of Wisconsin Madison I worked on path and trajectory planning algorithms for a self-driving car. The entire list of projects can be found here. 

Building on my self-learning, during the summer of 2021, I also had an opportunity to work with Cummins Inc as a thermal and fluid systems data science intern where my role was to develop a deep-learning algorithm to predict the exhaust temperature. Previously, I had the opportunity to work with Tesla as a cell engineering and modeling intern where my main contribution was developing a statistical algorithm for the lifetime analysis of the battery cell and building a post-processing tool to understand the development of mechanical stress during cell cycling.

I am always open to collaborations, projects, and opportunities, and can be contacted here. In addition, a list of all of my courses can be found here. 

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