CV
Education
- since September 2025: studying for a master’s degree at Charles University, Faculty of Mathematics and Physics
- September 2025: Micro-credential in Deep Learning
- September 2021 - June 2025: BSc., Charles University, Faculty of Mathematics and Physics
- Computer science with specialization in Artificial Intelligence
Work Experience
since January 2025: Researcher at PMCG (Prague Music Computing Group)
- Analyzed music notation in printed and handwritten documents with the goal of digitizing them in large quantities.
- Implemented Python-based deep learning and computer vision pipelines for notation detection using the YOLO platform.
- Extended the MuNG (Music Notation Graph) Python library, implemented a MuNG to MusicXML convertor.
Skills
- Languages: English (fluent), French (eight years of elementary and highschool education), Czech (native)
- Programming:
- more than three years of experience with C#, C++, Python
- working knowledge of AVR Assembly and the Arduino platform
- familiar with Prolog and Haskell
Projects
since 2024: Optical Music Recognition research (Python, bachelor’s thesis)
Analysis of music notation in printed and handwritten documents using the YOLO platform, preparation of training dataset.
2024: Graphbased Wavefunction Collapse (C#, semestral project)
Library of algorithms to color general (un)directed graphs based on given directed rules and color frequencies. Can be used to procedurally generate game levels, solve Sudoku etc. GitHub, WWW <!–
2024: HiMap (Python, hobby project)
Downloads Google Maps with custom styling, with any supported zoom and at any size, relies on the Google Maps Static API. GitHub, WWW –>
2024: MZKScraper (Python)
Python API wrapper that automates retrieval of document IDs matching user-specified query from Moravska Zemska Knihovna. GitHub <!–
2023-2024: Keypad (C/C++, ATmega328P, semestral project)
Connecting matrix keyboard with LCD and receiving computer, supports lowercase/uppercase letters, numbers and macros. GitHub, WWW –>