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@Artificial-Vision-Dynamics @RoboMastersAI

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rsanchezmo/README.md

👋 Hello, I'm @rsanchezmo 👋

Welcome to my GitHub profile. I am an enthusiastic researcher with a solid background in robotics and extensive experience in deep learning and deep reinforcement learning.

🎓 Education

  • Bachelor in Industrial Engineering: This provided me with a strong understanding of fundamental engineering principles.
  • Dual Master's Degree in Industrial Engineering and Robotics: Completed at the Universidad Politécnica de Madrid (UPM), where I delved into the technical and theoretical aspects of modern robotics and completed my knowledge in engineering.

💼 Professional Experience

  • SENER Aerospacial: Worked on autonomous vehicle perception using sensors like cameras, radars, and lidars. This experience allowed me to grasp the complexities and challenges of autonomous navigation. I really enjoyed this field and boosted me to start with AI.
  • INDRA: Currently applying my knowledge in the exciting field of Deep Reinforcement Learning, working on cutting-edge projects and contributing to innovative solutions in the machine learning domain. I also have experience in Deep Learning by implementing SOTA architechtures such as transformers and other computer vision architectures.
  • ICAI: Sharing my knowledge on computer vision, reinforcement learning and robotics as associate professor at Universidad Ponticia de Comillas. My goal is to inspire the next generation of tech enthusiasts, blending my practical experience with academic rigor to foster a dynamic learning environment.

🤖 Technical Skills

  • Deep Learning: Advanced experience in deep learning techniques, from building and training models to implementing them in real-world applications.
  • Robotics: Specialized in localization, SLAM (Simultaneous Localization and Mapping), planning, and perception. These skills are crucial for developing autonomous systems.
  • Software Development: Proficient in C++ and Python. Work with sota artificial intelligence tools such as PyTorch or Tensorflow and robotics such as ROS2.

📫 Contact

Feel free to reach out for collaborations, inquiries, or idea exchanges in the world of robotics and deep learning.

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  1. jaxer jaxer Public

    Jax and Flax Time Series Prediction Transformer

    Python 7

  2. stable-eureka stable-eureka Public

    Autonomous llm-based reward designer for reinforcement learning environments

    Python 2

  3. gym-llm gym-llm Public

    Testing LLMs reflection and planning capabilities with gym environments

    Python 1

  4. tensorbot tensorbot Public

    Tensorboard Telegram Bot

    Python

  5. advent-of-code-2024 advent-of-code-2024 Public

    Python solutions to Advent of Code 2024

    Python

  6. advent-of-code-2023 advent-of-code-2023 Public

    Advent of Code 2023 in Python

    Python