About

Ananye Pandey is an experienced Algorithms Developer with a focus on using Computer Vision for Sport Analytics, particularly in the field of Soccer. He has a passion for using Deep Learning for Computer perception, and parallel and distributed Machine Learning. Ananye holds a Master of Science degree in Electrical Engineering with a specialization in Data from Columbia University, NY, and a Bachelor of Technology in Electronics and Communications Engineering from Manipal Institute of Technology, India, with a minor in signal processing. Ananye has gained valuable experience in the technology industry through his work as a Machine Learning Engineer/Data Science Intern at xokind, and as a Research Assistant at Columbia University in the City of New York. At Columbia, he worked on GPU and heterogeneous deployment of Trained Neural Network Inference machines for real-time object detection. Currently, Ananye works as an Algorithms Developer at Trace Soccer, where he is responsible for developing algorithms that use Computer Vision to analyze soccer games. Ananye's technical expertise includes ML, Computer Vision, Deep Learning, Data Scientist, Research Scientist, Object detection, Object Detection, and Neural Networks. He has 3.11 years of relevant experience in the field of algorithms development. Ananye is a highly motivated and passionate individual who is constantly seeking to expand his knowledge and skills in the technology industry. He is a strong team player with excellent communication and problem-solving skills. In his free time, Ananye enjoys working on personal projects and sharing his knowledge with others. You can check out his website at ap3885.github.io.