Machine learning engineer working with Python and deploying on cloud services.Notable projects:- Developing computer vision models for a medical institution, used in production to guide decisions and automate workflow of medical professionals. Included creating Python ML pipelines and deploying on AWS with FastAPI.- Creating income estimation model for a bank. Required combining multiple data source and creating models with focus on interpretability.Main technologies: Python, PyTorch, AWS, Python ML stack (numpy, matplotlib, pandas, scikit, ...)

Computer Vision researcher and developer at ImproLab laboratory at CTU FIT. Application of machine learning to computer vision tasks. Notable projects:- Researching and developing a system for OCR of difficult to read text from end-user supplied photos. Used by automotive-related company. Involved complex data processing and augmentation methods.- Developing an application for monitoring of parking lot occupancy. Full-stack development from testing with cameras on-site to creating front-end GUI with JavaScript.- Creating a smile recognizing sweets dispenser for PR event at CTU.Main technologies: Python, OpenCV, PyTorch

Assistant teacher in a Computer Vision and Image Processing course.

Development and management of web applications. Primary focus on (PHP) backend and SQL development. Responsibility for communication with clients.