I graduated from University of Central Florida with Master's in Computer Science with research experience in Computer Vision from Center for Research in Computer Vision Lab in UCF in Video surveillance and advanced vision processing technologies.

Prior to my Master's, I graduated with Bachelor's in technology in Engineering in Electronics & Communication with Signal Processing as minor, which proved to very useful in understanding and leveraging any cross-platform hardware/software engineering projects & theoretical understanding of information theory.

And having thinking pythonic for past couple of years, I am able to sieve through, debug and get familiarized with anything in python faster than ever. I am no stranger to other programming languages, just don't had any requirements to use them day-to-day.

I am professionally competent in many deep-learning frameworks including Pytorch, Tensorflow, Keras and model optimization using TensorRT, ONNX, Deepstream, and libraries such as OpenCV, Pandas, Numpy, Pillow, Scikit, ScikitLearn, bash, slurm. I have also worked on multiple embedded hardwares for IoT/Edge deployment including but not limited to Raspberry Pi, Nvidia Jetson TX1, TX2 and Jetson Nano, Arduino, Atmega(Micro-controller).

At present I am developing projects as Computer Vision Research Engineer at CHEP for safety and quality monitoring using AI/ML.