Machine Learning Engineer
Current• Designed, trained, evaluated, and deployed image-based machine learning models for real-time object detection, segmentation, key point detection, classification, action recognition, and pose estimation on edge computers• Calibrated multiple camera systems (both extrinsic and intrinsic calibration) using April Tag marker detection and pose estimation• Designed and implemented new features for our warehouse applications such as ground area occupancy detection, forklift, and person tracking, mobile robot surrounding area obstacle detection, pallet localization, the forklift state detection• Automated the entire ML pipeline from data annotation to model deployment, which achieved a 70% cost reduction• Communicated and cooperated with clients to clarify their needs and design solutions for their use cases• Conducted regular on-site visits to deploy machine learning systems seamlessly• Implemented tool positioning and missing part detection systems for a car producer, eliminating a 1/10000 error and saving the customer 5 million euros in annual fines• Developed safety violations and fallen person notification system, reducing labor costs by eliminating the need for a second person in two-person teams at the warehouse yard• Contributed to the development of our autonomous mobile robot from the ground up, resulting in 150 units sold and 1 million euros in revenue• Provided technical guidance and mentorship to junior colleagues and working students• Regularly used Docker containers, CI/CD, Git, and computer vision libraries, familiar with agile development
