$ sudo nvidia-smi --loop=inf
> Location: Novosibirsk, Russian Federation
> Education:
> - NSU, 2021–2025, Deep Robotics Institute, Artificial Intelligence
> Languages:
> - English (B2), Russian (native speaker)
> Interests:
> - High-paced FPS gaming (Ultrakill, Doom, Quake)
> - Neuroscience and AI research (Goodfellow, Sutton, Sapolsky)
> - RL algorithms and game AI dynamics
> - Signal processing and data compression
> OS:
> - Ubuntu 24.04 LTS (prior experience with Arch Linux)
> Expertise:
> - Deep Learning, Reinforcement Learning, Computer Vision
> - Seismology-based predictive modeling
> - Embedded systems (focus: RK3588 integration)
> Core Languages: Python, C, Markdown
> Secondary: C++, HTML, CSS, JavaScript
> Frameworks: PyTorch, TensorFlow, Flask, NumPy, scikit-learn
> Technologies: Docker, Kafka, OpenCV
> Hardware: Rockchip (RK3588 specialization)
> Research Focus: RL, Computer Vision, Seismology
> Teaching: ML and DL courses at NSU, author of practice materials
> Dynamic Agents:
> - Adaptive behavior RL agents
> - github.com/dolganin/bachelor_degree
>
> Snake RL:
> - RL agent for the classic Snake game
> - github.com/dolganin/snake_RL
>
> Seismology Research:
> - Earthquake prediction models for Kamchatka
> - Custom signal compression algorithms (proprietary)
>
> RK3588 Expertise:
> - Documentation and system integration for RK3588 platform
> - Optimizing hardware-software pipelines
>
> Teaching:
> - Practical ML and NN assignments
> - github.com/dolganin/ML-NNs
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# $ exit #
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