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Achievement: Pull Shark

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Achievement: Pull Shark

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aizej/README.md

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BSc student in Automation & Electrical Engineering at VUT Brno. Focused on robotics, reinforcement learning, and embedded systems. Projects span mobile apps (Jetpack Compose), Raspberry Pi systems, and simulation-based RL. Proficient in Python, Kotlin, JavaScript; familiar with pandas, NumPy, basic TensorFlow. Building personal tools, experiments, and IoT prototypes with real-world integration.

Check out my website portfolio to see more about my most recent projects: http://158.101.167.252/main/welcome-to-my-portfolio/

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  1. EasyRLC EasyRLC Public

    Mobile APP for solving any RLC circuit. (with graphs)

    Kotlin 2

  2. Air-quality-sensor-with-website-interface Air-quality-sensor-with-website-interface Public

    Project with raspbberi pi using NDIR MH-Z14A and SHT45 sensors to colect data about CO2 levels in my room with web interface

    Python

  3. sisyphus-robot sisyphus-robot Public

    Simulated robot in WEBOTS learns how to push ball up the hill using PPO

    Python

  4. Automatic-face-targeting-laser-turret Automatic-face-targeting-laser-turret Public

    This is recreation of my old project that used raspberry pi 0 to detect faces trought small camera and directed servos to aim at that face\nThis recreation is now made on raspberry 4

    Python

  5. categorizational_neural_net_as_android_app categorizational_neural_net_as_android_app Public

    Jupyter Notebook

  6. Ai-for-4bit-inputs-from-scratch Ai-for-4bit-inputs-from-scratch Public

    flashback to 2021 when i made neural network for 4bit inputs from scratch

    Python