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CV

Select a focus below to highlight matching roles. Expand each role for a short summary.

Publications

Semantic Scholar

Focus:

Experience

Hands-on ML engineering in a global delivery environment — building on prior production CV and edge experience.

Production computer vision and edge deployment; tools and pipelines used by a large developer community.

  • Developed and deployed custom computer vision models (YOLO, SAM, VLMs) for production.
  • Built training and inference pipelines with optimization and quantization for edge and cloud deployment.
  • Created DataDreamer — an open-source tool for automated dataset generation using foundation models and GenAI.
  • Deployed models on edge devices and GCP with Docker and Kubernetes; maintained ML services for real-time use cases.
  • Used Airflow and related tooling for scalable ML workflows.

PyTorch · Computer Vision · NLP · GCP · Docker · Kubernetes · Airflow

Research on perception and uncertainty in 3D environments.

  • Researched methods enabling robots to recognize their own uncertainty and reason in a 3D world.

Open Set Recognition · Instance Segmentation

RL simulation tooling and research with publication output.

  • Built myGym — a toolkit for training RL algorithms in robotic simulation.
  • Researched RL for non-prehensile tasks; published at ICCAR 2021.

Python · PyTorch · RL · Computer Vision · Robotics

Hardware and robotics lab support alongside studies.

Skills

Programming
Python, C/C++, Java, JavaScript
ML stack
PyTorch, OpenCV, NumPy, Pandas
Infrastructure
Docker, Kubernetes, GCP, SQL
Other
Git, Linux, CI/CD, model deployment

Education

  • Master’s, Computer Vision and Image Processing
    Faculty of Electrical Engineering, Czech Technical University in Prague · 2021 – 2024
    Thesis: Open Vocabulary Object Detection with Multimodal and Generative Models.
  • Exchange (Master’s), Artificial Intelligence — GPA 4.3 (A+)
    Korea Advanced Institute of Science and Technology (KAIST) · 2022
    Daejeon, South Korea — coursework in NLP, computer vision, data science, and data mining.
  • External student
    Charles University · 2021 – 2022
    Machine Learning (NPFL129) via prg.ai Minor.
  • Bachelor’s, Artificial Intelligence and Computer Science — grade 1.05 / 1.0
    Faculty of Electrical Engineering, Czech Technical University in Prague · 2018 – 2021
    Thesis: Recognizing Unknown Objects for Open-Set 3D Object Detection.

Certifications

  • Open Machine Learning Course (mlcourse.ai / OpenDataScience) · Issued Nov 2019

Languages

  • English — Professional working proficiency
  • Czech — Professional working proficiency
  • Russian — Native or bilingual proficiency

Activities

  • Member of Upsilon Pi Epsilon — international honor society for computing and information disciplines.
  • Participated in four hackathons — teamwork, rapid prototyping, and presentation.

Interests

Proactive about learning new technologies and exploring emerging areas in AI. Enjoy computer and board games.
Favorite outdoor activities: hiking, skiing, and jogging.