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
Graduated with honors
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 & CV
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
OUTFINDO Data Engineering
2021 - Present
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
3D Bin Picking System
2020 - 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
HPC Graph Theory Research
2019 - 2020
Research on graph theory problems using high-performance computing at IT4Innovations
Technologies
Key Achievements
- → Implemented parallel algorithms for graph problems
- → Optimized computations for supercomputer architecture
Let's Connect
Seeking solutions to interesting tech puzzles? Drop me a line.