Copenhagen, Capital Region of Denmark, Denmark
As a Machine Learning Engineer at Kuatro Group, I develop custom solutions for clients in the food and pharmaceutical industries using my expertise in image classification, object detection and classification, and deep learning. Working with in Machine learning pipelines in GCP, I contribute to efficiently deliver scalable solutions that drive innovation and improve outcomes. I am passionate about collaborating with cross-functional teams to deliver impactful solutions that unlock new possibilities for our clients.
As a Computer Vision Engineer at TrackMan, I leveraged my skills in Object Detection and Tracking to develop cutting-edge solutions for sports analytics. Through my work with OpenCV and Python, I created algorithms that revolutionized how data is captured and analyzed in the world of sports. I am passionate about using technology to unlock new insights and improve athletic performance. As a Computer Vision Engineer at TrackMan's Vision and AI department, I developed and implemented data-driven tracking and classification models for one of the world's leading sports technology firms. I have extensive experience in camera system calibration, object detection and tracking using both deep learning and traditional computer vision, for tasks as: - semantic segmentation - object pose estimation - event-based clustering - time-series classification - multi-task learning. Deploying multiple predictive models within different modalities, incorporating MLOps pipelines to enable continuous integration and development.
As a student assistant in Bühler's R&D team, I was a part of the company's digital transition. Specifically, I was responsible for transforming, updating, and revising technical documentation in SAP, contributing to the ongoing efforts to modernize the company's digital infrastructure. Working closely with colleagues in Denmark, I helped ensure that Bühler's documentation met the highest standards of quality and accuracy, setting the stage for continued success in the years ahead.