Yashraj Mane

About

Electronics & Telecommunication Engineering student specializing in embedded hardware, CAN bus communication, battery management systems, and autonomous drone simulation. Hands-on with ROS, Gazebo, PX4, and computer vision pipelines for embedded and aerial robotics applications.

Education

• B.E. in Electronics & Telecommunication Engineering
  MES Wadia College of Engineering
  Electronics & Telecommunication Engineering · 2024 – 2027
• Diploma in Engineering
  Pimpri Chinchwad College of Engineering
  Engineering · May 2021 – Jul 2024

Skills

• C 3 to 6 months
• Python 3 to 6 months
• OpenCV 3 to 6 months
• PyTorch 3 to 6 months
• Embedded C 6 to 12 months
• ESP32 <3 months
• Operating Systems 3 to 6 months
• I2C 2 to 5 years
• UART 2 to 5 years
• SPI 2 to 5 years
• BMS 3 to 6 months
• Servo Motors 2 to 5 years
• ROS <3 months
• ONNX <3 months
• LiDAR <3 months
• CAN Bus 3 to 6 months
• RViz <3 months
• Mavlink 3 to 6 months
• FreeRTOS 3 to 6 months
• Pwm 2 to 5 years
• Gpio 2 to 5 years
• EasyEDA 3 to 6 months
• Bldc 5 to 8 years
• IMU 1 to 2 years

Tools / apps / platforms

• Arduino <3 months
• Gazebo <3 months
• Git <3 months
• KiCad <3 months
• Raspberry Pi <3 months
• Roboflow <3 months
• VS Code <3 months

Languages

• Marathi Fluent Speak · Read · Write
• English Conversational Speak · Read · Write
• Hindi Fluent Speak · Read · Write

Projects

• Autonomous Drone Simulation with QR Payload Extraction
  ROS, PX4, Gazebo, RViz, OpenCV

  Simulated an Iris quadcopter in Gazebo using PX4 flight stack and RViz, executing autonomous missions across guided and unguided flight modes. Integrated camera feeds with an OpenCV QR detection pipeline to autonomously locate, scan, and decode target data payload in real time during flight.

• CAN Bus Based Battery Management System (BMS)
  CAN Bus

  Engineering an automotive-grade BMS utilizing CAN bus protocol to transmit high-frequency voltage, current, and pack temperature telemetry. Implementing real-time overcurrent, overvoltage, and thermal safety thresholds with sub-millisecond fault mitigation logic.

• Vision-Based Object Detection using YOLOv8 & Edge AI
  YOLOv8, Roboflow, ONNX, Python, OpenCV, CUDA

  Trained and optimized a custom YOLOv8 model using Roboflow datasets, converting weights to ONNX for real-time edge execution. Accelerated CUDA inference pipelines in Python/OpenCV to process target classes at 30+ FPS for autonomous robotic platforms.

• Autonomous Obstacle Avoidance & Automatic Braking Robot
  C++, Arduino

  Engineered an autonomous mobile robot using C++ on Arduino, featuring real-time ultrasonic scanning and dynamic servo steering control. Designed sub-10ms emergency braking algorithms and adaptive path-finding logic to navigate dense obstacle fields.

• PID-Controlled Precision Line-Following Robot
  PID control, IR sensors

  Developed a high-speed mobile robot using an 8-channel IR sensor array, utilizing closed-loop PID control for trajectory tracking.

🏆 Achievements & awards

• Project Competitor

  COEP MindSpark (Engineered and demonstrated autonomous robotics hardware).

⚽ Extracurricular activities

• Technical Team Member

  RoboClub, MES Wadia College of Engineering: Integrated hardware modules, microcontrollers, and motor drivers for competitive robotic platforms.

• Core Team Member

  AeroThon: Assisted in drone hardware assembly, flight controller programming, and airborne sensor integration.

• Rapid Prototyping Specialist

  Utilized 3D printing (FDM) to design and fabricate custom robotic chassis, mounts, and hardware enclosures.