Leipzig, Saxony, Germany
Looking to transition to industry positions in Data Science or Machine Learning teams starting September 2026. PhD candidate at MPI for Human Cognitive and Brain Sciences - researching improve cost- and time effectiveness of data collection for large-scale fMRI studies of the human visual system. I studied Computer Science (M.Sc.) and Business Information Systems (B.Sc.).
Worked on ML models for medical use cases: - Built and improved models for automatically segmenting regions of interest in human brains - Worked on improving state of the art in uncertainty-aware prostate cancer mortality prediction
Full-stack development of two websites for the academic sector: - Configuration of hosting using NGINX and gUnicorn on Linux - Developed Django backend for site and user management and frontend with HTML, CSS and JS
Lead development of an image processing micro-service: - Data acquisition and cleaning for product-specific use cases - Training and evaluation of ML vision models (deduplication, retrieval, classification, upscaling, quality assessment) - Backend development for serving ML models with Python (Flask, gUnicorn) Worked on improving search results: - Bayesian hyperparameter optimization of recommender system - Training and evaluation of ranking models Ran statistical analysis and prepared results for stakeholders: - Outlier detection for product prices - Statistical analysis and visualization of time series data I also briefly worked on the backend team, writing API code with PHP and Go.
Lead development of a product image retrieval pipeline: - Crawling and cleaning of massive image datasets for model training - Training of models for image representations, image segmentation and text classification (Tensorflow, PyTorch)