Summary
Kanstantsin Pachkouski is a data scientist and robotics engineer with 8 years of experience applying computer vision, machine learning, and control research to real-world products across medical robotics, manufacturing automation, and automotive data. He has driven R&D and production implementations—from detecting critical radiographic findings to vision-guided automation in footwear factories—using C++, Python, ROS, OpenCV, PyTorch and TensorFlow. His work contributed to top-tier robotics venues (TRO, ICRA) while also shipping ML solutions at startups like Mosaic Manufacturing and enterprise teams such as Carfax at S&P Global. Comfortable moving from algorithm prototyping to system integration, he blends academic rigor from a Western University M.Eng. in Robotics with hands-on embedded and industrial deployment experience. A quick learner and pragmatic engineer, he often bridges research advances and product constraints to accelerate delivery. Based in Ontario, Canada, he brings a rare mix of surgical-robotics research pedigree and applied computer vision engineering.
8 years of coding experience
5 years of employment as a software developer
Master of Engineering Science Robotics, Master of Engineering Science Robotics at Western University
Foreign exchange student Robotics, Foreign exchange student Robotics at TalTech – Tallinn University of Technology
Bachelor of Science - BS Mechatronics and Robotics , Bachelor of Science - BS Mechatronics and Robotics at ITMO University