About

Wins Goyal is a highly skilled Software Development Engineer (SDE I) at Amazon with a strong background in product designing, research, and entrepreneurship. He is a graduate student in Computer Science, specializing in Machine Learning, NLP, and Computer Vision. Wins is a self-learner and a reliable team player who can quickly understand new systems and deliver under tight schedules. Wins has designed scalable data pipelines as well as pipelines for complex Image Analysis and innovated Attention-based Deep Learning models. He has specific interests in Adaptive Learning, Computer Vision, and Distributed Cloud Systems. Wins has relevant experience of 4.86 years in the field of Software Engineering, Computer Vision, Research Science, Deep Learning, NLP, ML, P2P, Decentralized, test, Python, and Flask. Prior to joining Amazon, Wins worked as a Graduate Research Assistant at the Florida Institute for Cybersecurity Research, where he worked on projects such as Firmwire RAN-Fuzzing, StereoCam threat analysis and ROS simulations, and ROS-fuzzer evaluation. He also worked as a Graduate Student Researcher at the University of Florida, where he integrated the latest stable version packages of Tincan and WebRTC to EdgeVPN (a P2P-based decentralized VPN software in C++ & Python) and re-designed the WebUI and Webservice for the visual simulation of Software testing (Flask, React & Node). Wins has a Master of Science degree in Computer Science from the University of Florida and a Bachelor of Technology (B.Tech.) in Computer Science and Engineering from the Indian Institute of Technology Jodhpur. With his strong technical skills and experience, Wins is an asset to any organization he works with.