Building computer vision algorithms for card and coin defect evaluation. Quality assurance for collectibles
Communicating with operations (graders), backend services, and the mobile developer, to assure that all the computer vision algorithms are running correctly
Built an invoice data extraction algorithm for a private German digital post service
Built an object detection and tracking algorithm for counting objects in 3D Computed
Tomography images of vehicle parts. Reduced the human (worker) time from ~120 minutes to
System design of change detection in Airplane Cabin using Radio Frequency Signals
Built a pore detection algorithm in 3D CT-Scans of airplane parts with 99.x% accuracy.
Built a Semantic Scene Segmentation algorithm for façade images, which is state-of-the-art for small datasets.
Created a dataset for detailed facade segmentation, including transoms and mullions of windows. First analyzed and considered these data for creating high-quality 3D building models.
Built a complete pipeline for façade segmentation from data acquisition up to deployment
Built a matching algorithm of user-profiles with problem descriptions. Improved the accuracy by more than 50%
Taught Courses: Calculus 1 and 3, Discrete mathematics 1 and 2 and Basics of IT
Thesis: ?Facade Interpretation from Images?, Grade 1.3 - Magna Cum Laude.
Master thesis: ?Coreference Resolution in Biomedical Full Text?, Used: Java, Solr, and C++. Grade: 1.0
GPA 9.85/10.00. Thesis: ?Text Mining of Clustered News?. Used: Java and Tapestry. Grade: 10/10
Computer Vision Engineer
Libraries and Packages:
Convolutional Neural Networks
Papers, Awards and honors: on request