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Deivs117/README.md

Hi! I'm Deiv👋

Mechatronics Engineer | AI Specialist | Robotics & Software Developer

I am passionate about the convergence of dynamic hardware and artificial intelligence. I specialize in the development of advanced robotic platforms, deploying Machine Learning models on resource-constrained hardware (Edge AI), and building IoT infrastructure for industrial monitoring.

Focus Areas

  • Robotics: Design and simulation of autonomous platforms, bio-inspired locomotion, and quadruped systems.
  • Edge AI & Computer Vision: Optimization and deployment of convolutional neural networks on restricted hardware such as microcontrollers and embedded cameras.
  • Industrial IoT & Cloud: Architecture of telemetry pipelines for CNC machinery monitoring, integrated with cloud services.
  • Hardware Design: Development and fabrication of complex PCBs for biological signal conditioning and power control systems.

Connect with Me

🛠️ Tech Stack

Category Technologies, Languages & Tools
Languages C, C++, Python, MATLAB, SQL
Robotics & Simulation ROS2, Gazebo, Motion Control, Kinematics
AI & Computer Vision OpenCV, Edge Impulse, PyTorch / TensorFlow, YOLO
Embedded Systems ESP32-CAM, ESP-IDF, Arduino, Protocols (I2C, SPI, UART)
Cloud & IoT Microsoft Azure (IoT Hub, Container Instances), MQTT, InfluxDB
Electronic Design KiCad / Altium, Power & Signal PCB Design

Pinned Loading

  1. IoT_CNC_Monitoring IoT_CNC_Monitoring Public

    IoT and Edge AI system for low-cost preventive monitoring in CNC PCB milling machines. Designed to be scalable, secure, and cost-optimized.

    C++

  2. SALLI SALLI Public

    SALLI: Open-source project for a bio-inspired autonomous salamander robot. Includes CAD designs, custom PCB hardware, and firmware for efficient land locomotion and stability.

    Python

  3. sammcar/PETER_SIMULATION sammcar/PETER_SIMULATION Public

    Simulación de P.E.T.E.R para paper en el semillero de neurocontrol motor.

    Python 1

  4. AI-Driven-Children-s-Emotion-Recognition AI-Driven-Children-s-Emotion-Recognition Public

    An AI-driven, multi-stage vision pipeline using YOLOv8 to detect children, estimate age, and classify facial expressions into clinical emotion metrics for automated mental health records.

    Jupyter Notebook