Kujtim Rahmani

Building computer vision algorithms for object detection and tracking of defects of manufactured parts in X-ray images. - Optimized the detection and tracking system to achieve a processing speed better than ~20 images per second. - Communicating with clients so that data and annotations achieve the best quality

Building computer vision algorithms for collectables defect evaluation. Quality Assurance for collectibles. - Communicate with operations (graders), backend services, and the mobile developer to ensure that all computer vision algorithms are running correctly

- Build an OCR automatic parsing of the data when they are uploaded to Google Drive - Handled several templates Used: Python, tesseract, pytesseract-OCR, Docker, OpenCV, GCP, Cloud Run, Scheduler

Data scientist responsible for implementing cutting edge Computer vision algorithms

PD student in 3d reconstruction and scene interpretation

developing ranking algorithm of people based on their CVs

teacher assistant for subjects Calculus1, Discrete Structures 1, Basics of IT, Discrete Mathematics 2 and Calculus 3

Computer Vision, Geoinformatics, Photogrammetry, Machine Learning

-Machine learning and data mining, Algorithms, Software engineering