Piotr Gapski

🚀 Machine Learning & Computer Vision Stack

Below is a selection of tools and technologies I use in daily work on perception, learning-based control, and robotic systems.

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🎯 Machine Learning

Frameworks and libraries

Optimization and deployment

Data processing and experimentation

Experiment tracking

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🖼️ Computer Vision

Core libraries

Methods and models

• Object detection (YOLO, Faster R-CNN, SSD)
• Semantic and instance segmentation (Mask R-CNN and related architectures)
• Pose estimation (OpenPose, MediaPipe)
• RGB-D perception and depth-based scene understanding
• Data augmentation and preprocessing pipelines

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🌐 Web & API Development

Used mainly for model serving, experiment dashboards, internal tools, and lightweight system interfaces.

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🤖 Robotics, IoT & Systems

Technologies used in mobile robotics projects, simulation environments, and deployment on embedded platforms.

Additional experience includes:

• Embedded systems and microcontroller-based platforms
• Real-time data acquisition and processing
• Simulation-to-real transfer in robotic learning pipelines
• System monitoring, diagnostics, and telemetry

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📬 Contact

• 🌐 Website: https://piotrgapski.info.pl
• 📧 Private Email: piotrgapski96@gmail.com
• 📧 Email: piotr.gapski@doctorate.put.poznan.pl
• 💼 LinkedIn: https://www.linkedin.com/in/piotr-gapski

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© 2026 Piotr Gapski
Machine Learning · Computer Vision · Robotics Engineer