• 🏛️ University Student at INSAT studying Embedded Software Engineering
• 🤖 Specializing in Robotics, Autonomous Systems, and Embedded IoT
• 🔧 Building real-world embedded solutions with STM32 and ESP32
• 🚗 Developing Autonomous Differential Drive Robots with advanced sensor fusion
• 🚀 Passionate about SLAM, Computer Vision, and Real-Time Systems

Microcontrollers: STM32 | ESP32 | Arduino

Communication Protocols: Micro-ROS | UART | I2C | SPI | CAN

ROS2 Stack: Navigation2 | Micro-ROS | TF2 | URDF

Simulation: Gazebo | RViz

SLAM & Localization: SLAM Toolbox | Cartographer | EKF (Extended Kalman Filter)

Sensors: LiDAR | IMU | Encoders | Ultrasonic

• Developing a fully autonomous robot with differential drive kinematics
• Sensor Fusion using Extended Kalman Filter (EKF) for accurate localization
• Integration of LiDAR and IMU for real-time environment mapping
• SLAM implementation for autonomous navigation and obstacle avoidance

• Raspberry Pi ↔ STM32 communication using Micro-ROS
• Raspberry Pi ↔ ESP32 integration for distributed IoT systems
• Real-time control and data exchange between microcontrollers
• Low-level driver development for sensor interfaces

• Implemented SLAM algorithms for autonomous mapping
• Gazebo simulation environment for robot testing and validation
• Path planning and trajectory optimization
• Sensor fusion with EKF for robust state estimation

• Created realistic robot models in Gazebo with physics simulation
• LiDAR and IMU sensor simulation for algorithm testing
• RViz integration for real-time visualization of robot state and environment

• Built cross-platform mobile applications using Flutter and Dart
• Focus on clean UI/UX and responsive design

• Developed modern web applications with React and Next.js
• Implemented full-stack solutions with modern frameworks

⚡ "The best way to predict the future is to invent it" ⚡