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  • Munich, Germany

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Achievement: Pair ExtraordinaireAchievement: Quickdraw

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Muhammadjunaidmalik1/README.md

Hey, I'm Muhammad Junaid 👋

Building intelligent autonomous systems that perceive, reason, and adapt.

🚀 About Me

  • 🤖 Role: Robotics Software Engineer
  • 📍 Location: Munich, Germany 🇩🇪
  • 🧠 Experience: 3+ years in robotics & software development
  • ❤️ Passionate About: Robotics, Autonomous Systems, and AI-driven perception
  • 📚 Currently Exploring:
    LeRobot · Mobile Robotics · Embedded Systems · Diffusion Models · Vision-Language-Action (VLA) Models · Reinforcement Learning
  • 🎯 Perception Sensors: 3D cameras (RGBD, Stereo, TOF), IMUs.
  • 🎯 Hardware: Nvidia jetson devices, Raspberrypi, LeRobot.
  • 🎯 Goals:
    Designing robust, scalable autonomous systems that bridge research and real-world deployment
  • 🎲 Fun Fact: I enjoy turning research papers into working robots 🤖

🛠️ Tech Stack

stack = {
    "languages": ["Embedded C", "C++", "Python",  "Matlab", "PLC programming"],
    "Frameworks and liberaries": ["ROS", "ROS2", "Pytorch", "Tensorflow", "TensorRT",  "OpenCV", "PCL"],
    "robotics": [ "Robot Kinematics & Dynamics", "Robot Manipulation", "SLAM", "Perception & Computer Vision", "Control systems", "Motion Planning (Moveit , OMPL), Robot navigation (Nav2, OpenNav)"],
    "deploy": ["Docker", "Linux", "CI/CD", "Embedded"]
    "Tools": [" Linux, Git, CMake, MoveIt."]
}

How I Work

Research → Prototype → Deploy → Validate → Ship

Popular repositories Loading

  1. deep-learning-v2-pytorch deep-learning-v2-pytorch Public

    Forked from udacity/deep-learning-v2-pytorch

    Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

    Jupyter Notebook

  2. Project-1-Landmark-Classification-Tagging-for-Social-Media Project-1-Landmark-Classification-Tagging-for-Social-Media Public

    A Project of Udacity Deep Learning Nanodegree program where I learned how to build a pipeline to process real-world, user-supplied images and deployed the trained model into an app. Given an image,…

    Jupyter Notebook

  3. Project-2-Face-Generation-using-GANs- Project-2-Face-Generation-using-GANs- Public

    In this project, I built and trained a custom GAN architecture on CelebA dataset, generating realistic faces.

    Jupyter Notebook

  4. Project-Facial-Keypoint-Detection Project-Facial-Keypoint-Detection Public

    I used the knowledge gained related to deep learning and computer vision to create Facial Keypoint detection that detects the spetial features of the faces.

    Jupyter Notebook

  5. Project-Image-Captioning Project-Image-Captioning Public

    In this project, I created a neural network architecture to automatically generate captions from images. After using the Microsoft Common Objects in COntext (MS COCO) dataset to train your network,…

    Jupyter Notebook

  6. ROS-Noetic-Course. ROS-Noetic-Course. Public

    Makefile