About me
Data engineer & computer vision specialist with strong mathematical foundation
Professional summary
Data Engineer & Research Engineer with expertise in computer vision and machine learning. Combining strong mathematical background with practical engineering skills to build scalable data solutions and intelligent systems. Experienced in high-performance computing and parallel programming.
Education
Master's in Computational Mathematics
VSB - Technical University of Ostrava • 2018 - 2020
Focused on solving discrete problems with boundary elements method in Laplace equation in 3D. Implemented parallel computation solutions using graph coloring techniques.
Bachelor's in Computational Mathematics
VSB - Technical University of Ostrava • 2015 - 2018
Research in graph theory, focusing on parallel programming for graph labeling problems. Active member of ACM-ICPC and Support Talented Students program.
Professional certifications
NVIDIA
- Fundamentals of Deep Learning for Computer VisionIssued Feb 2020
Hobbies & interests
Climbing & bouldering
Regular climber with focus on technical routes and problem solving
Hiking
Active mountaineer
Competitive programming
Project Euler (50+ problems), UVA Online Judge participant
Self-Learning
Continuous learning in mathematics, algorithms and new technologies
Data engineering
Machine learning & computer vision
Scientific computing
Additional achievements
- → 2nd Place at European Healthcare Hackathon - Hospital Surveillance AI Project (2023)
- → Best Thesis Award - Applied Mathematics Department (2018 & 2020)
- → Member of Support Talented Students Program (2016 - 2020)
- → ICPC Programming Contest: 3x CERC (Central European Regional Contest) Participant (2015 - 2017)
Languages
Work experience
Key projects and professional experiences
Mediaboard
Data engineer • 04/2025 - Present
Working on NLP models for media content
Technologies
Key Achievements
- → Working on NLP tasks
Outfindo
Data engineer • 08/2021 - 03/2025
Developed ETL pipelines and data processing systems using Python, FastAPI, and Airflow
Technologies
Key Achievements
- → Implemented scalable data processing pipelines
- → Built RESTful APIs with FastAPI
- → Orchestrated ETL tasks using Airflow
Sanezoo
Computer vision engineer • 07/2020 - 07/2021
Computer vision solution for automated bin picking at Sanezoo
Technologies
Key Achievements
- → Developed 3D object detection algorithms
- → Optimized performance using CUDA
- → Implemented real-time processing systems
Let's connect
Seeking solutions to interesting tech puzzles? Drop me a line.