I was born in Vaishali, Bihar, India. I am the youngest of three brothers. I did my undergraduate in Electronics Engineering at the National Institute of Technology, Patna, India. After briefly working for a small software company, I moved to the US for higher education. I got my Ph.D. from Texas Tech University in Lubbock, Texas in 2016. I worked on several computational problems as a part of my Ph.D. research. I developed a cost function that analyzed difficulties created from the complete or incomplete observability by different channel capacities of Phasor Measurement Units (PMUs). My objective function took these variables into account and optimized the placement of available PMUs. I also developed and implemented an algorithm for the dynamic-state estimation for bilinear systems using Parallel Kalman Filters in the case that process and measurement noise could be correlated. During this time and after graduation, I had the opportunity to teach several core courses in electrical and computer engineering. I also got involved in researching the application of machine learning techniques on biomedical signal processing. My research experiences so far have been in various areas of artificial intelligence techniques. I am a huge technology enthusiast and am looking forward to continuing my career as an educator and researcher in electrical engineering and artificial intelligence. I have a patent pending on automated grading software. The developed system and algorithm can check derivations of mathematical expressions from each other allowing to do step marking for subjective problems. It can not only immediately find the wrong derivations, but can also suggest the corrections. I am open to collaboration related to publications and grants etc. Currently automated grading can only be done for objective problems using scantron etc. or only for final answers by comparing the expressions. This will free up lots of time for teachers and teaching assistants allowing them to help students understand the material better.