2021-06
heute
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
2019-08
2021-05
2020-04
2020-07
Built an invoice data extraction algorithm for a private German digital post service
2019-08
2020-03
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
5 minutes
2019-04
2019-07
System design of change detection in Airplane Cabin using Radio Frequency Signals
2018-11
2019-04
Built a pore detection algorithm in 3D CT-Scans of airplane parts with 99.x% accuracy.
2015-06
2018-10
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
2014-12
2015-05
Built a matching algorithm of user-profiles with problem descriptions. Improved the accuracy by more than 50%
2011-10
2012-09
Taught Courses: Calculus 1 and 3, Discrete mathematics 1 and 2 and Basics of IT
2020-10
2022-10
2015-06
2019-12
Thesis: ?Facade Interpretation from Images?, Grade 1.3 - Magna Cum Laude.
2012-10
2014-11
Master thesis: ?Coreference Resolution in Biomedical Full Text?, Used: Java, Solr, and C++. Grade: 1.0
2008-09
2012-09
GPA 9.85/10.00. Thesis: ?Text Mining of Clustered News?. Used: Java and Tapestry. Grade: 10/10
Data Science
Data Scientist
Computer Vision Engineer
Libraries and Packages:
OpenCV
TensorFlow
Keras
Sci-kit learn
Matplotlib
Azure
AWS
Algorithms:
Convolutional Neural Networks
Random Forests
Ensemble Methods
Linear Models
Papers, Awards and honors: on request