Summary
Husan Vokhidov is a research engineer with 8 years’ experience specializing in computer vision, deep learning, and robotics, based in Manchester. He has built production-grade systems for vehicle re-identification, human pose estimation and de-identification, and a Korean bus route recognition tool that assists visually impaired users, demonstrating both research depth and real-world impact. Proficient in Python, C/C++, PyTorch/TensorFlow and a range of CV libraries, he bridges algorithm development and deployment across Linux, Windows and macOS using Docker and Git workflows. His background includes SLAM, path and motion planning with ROS and coppeliaSim, reflecting strong robotics and mechatronics grounding alongside ML expertise. Notably, he has repeatedly turned academic knowledge into applied solutions—placing 7th in a national waste-detection competition and delivering a 94% accurate assistive system—indicating practical rigor and user-focused innovation.
8 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Robotics and Automation, Master of Science - MS, Robotics and Automation at The University of Salford
Bachelor's degree, Informatics and Information Technologies, Bachelor's degree, Informatics and Information Technologies at Tashkent University of Information Technologies
Master's degree, Electrical and Electronics Engineering, 3.94/4.5, Master's degree, Electrical and Electronics Engineering, 3.94/4.5 at Dongguk University
English, Korean, Uzbek