Resume

Education

• 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.

Research

• 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.

Skills

• 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