About

Pranav Puranik is a highly skilled Software Development Engineer at Amazon with a passion for creating elegant and efficient code. His current role involves developing data engineering architectures and machine learning models for the Product Waste Management using AWS services. Pranav's previous experience includes working as a Research Assistant at the University of Florida, where he built computer vision tracking models for attacking autonomous vehicles. He also worked as a Computer Vision Developer at the Precision Agriculture Laboratory, University of Florida, where he saved 20% of labor work and capital by developing a strawberry counting model using object detection and tracking algorithms. Pranav achieved a detection accuracy of 93% and counting accuracy of 95%, which helped farmers in harvesting. He also published a paper in the 13th European Conference on Precision Agriculture in March 2021. Pranav's education background includes a Master's degree in Computer Science from the University of Florida and a Bachelor's degree in Computer Engineering from St. Francis Institute of Technology. Pranav's technical expertise includes software engineering, machine learning, AWS, computer vision, data engineering, research science, object detection, Keras, OpenCV, Python, Docker, TensorFlow, and PyTorch. He has relevant experience of 2.19 years. Pranav's passion for creating elegant and efficient code, coupled with his technical expertise, makes him a valuable asset to any team.