• 2010 - 2012 Master of Science in Artificial Intelligence
    Wroclaw University of Science and Technology (WUST), Poland
    Thesis Title: Contrastive learning for multi-label classification (accepted for NeurIPS 2022 Workshop).
    As a participant of AI Tech (government AI, ML and cybersecurity education project) I took part in WACV 2022 and ICLR 2022 international conferences*
  • 2017 – 2021 Bachelor of Science
    Wroclaw University of Science and Technology (WUST), Poland
    Major: Computer Science
    Minor: Applied Computer Engineering in Medicine
    Thesis Title: Human activity recognition on the basis of changes of WiFi characteristics*

Work experience

2019 – 2022 cognitivX S.A.
Machine Learning Engineer, Computer Vision
🇵🇱 Warsaw, Poland

  • Researching optimal solutions for object detection and object tracking applying DeepStream SDK on an embedded device (NVIDIA Jetson Nano);
  • Complying and managing the corporate dataset for object detection and leading the annotating group;
  • Training object detection architecture and optimizing it for NVIDIA TensorRT;
  • Preparing scripts in Deepstream SDK for production use with object tracking model;
  • Hypertuning and optimizing object tracking and object detection models;
  • Preparing framework in Python for object tracking using Microsoft Azure;
  • Creating the structures for MySQL on Azure and preprocessing scripts; ◦ Implementing visualizations in Dash and metrics tracking in Grafana.


  • Contrastive Learning for Multi-Label Classification
    Vladimir Zaigrajew and Maciej Zieba
    in Neural Information Processing Systems (NeurIPS), 2022, Workshop SSLTheoryPractice
  • Reviewed papers
    in Neural Information Processing Systems (NeurIPS), 2022, Workshop.


  • Languages
    • 🇵🇱 Polish (native speaker)
    • 🇬🇧 English (fluent)
    • 🇷🇺 Russian (near native)
  • Communication Skills
    • Time-management ⏳
    • Decision-making 🤔
    • Teamwork and multitasking 🤝
    • Team leadership and management 🗣
  • Coding
    • Languages: Python, C++/C, SQL
    • CI/CD: Github Actions
    • Frameworks: Django, Redis, Postgres, MySQ
    • AI and ML frameworks: PyTorch, JAX, Flax, OpenCV, scikit-learn, Pandas,
      Numpy, Matplotlib, Seaborn, Plotly, Dash, Grafana, `W&B
    • Big Data frameworks (beginner): Hadoop, PySpark, Kubernetes (Lens), HPC (SLURM)
  • Others
    • Version Controlling: Git
    • Containerization: Docker
    • Editing: VS Code, LateX, Vim