1. Consulting manufacturing companies on Computer Vision solutions2. Implementation of the complete initial backend pipeline for 24/7 real-time video streaming and analysis with neural networks (ffmpeg+pytorch) and the Minimum Viable Product3. Building and leading the backend/CV team (6 people), interviewing 50+ candidates4. Serving as a technical lead, setting directions, doing code reviews, assuring quality, mentoring junior team members, writing research papers/patents5. Got… Show more 1. Consulting manufacturing companies on Computer Vision solutions2. Implementation of the complete initial backend pipeline for 24/7 real-time video streaming and analysis with neural networks (ffmpeg+pytorch) and the Minimum Viable Product3. Building and leading the backend/CV team (6 people), interviewing 50+ candidates4. Serving as a technical lead, setting directions, doing code reviews, assuring quality, mentoring junior team members, writing research papers/patents5. Got into YCombinator (acceptance rate: 1%), the most prestigious startup accelerator in the world Show less

1. Research on Computer Vision and Human Computer Interaction, significantly shaped the lifelong-learning research line in the team2. Supervised two Ph.D. interns3. Published several papers at top venues such: PAMI, IJCV, CVPR, ECCV, AAAI

1. Deployed several projects to production, most notably automatic highlight detection and video object segmentation2. Built and led the Machine Learning team3. Conducted research on video understanding; wrote and published multiple papers

Research in deep learning for solving structured prediction problems

Internship as a research scientist in the Computer Vision group of Yahoo! Labs located in New York city. Research in video analysis using deep learning.Main programming language: PythonLibraries: Caffe, Theano and Lasagne

Implementation von Software mit J2EE Webservices