Hi, I'm Shubham Jolapara, a Robotics and Machine Learning Engineer with a passion for building intelligent robotic systems and advanced machine learning models. My journey in the tech world combines a strong foundation in embedded software development with expertise in robotics, computer vision, and machine learning. From hands-on robotics projects to deploying deep learning models, I thrive in solving complex problems with cutting-edge technology.

• Robotics Software Development: ROS/ROS2, Gazebo, Rviz, ROS2 Nav2 Stack, Arduino, Microcontrollers
• Machine Learning & Deep Learning: PyTorch, TensorFlow, OpenCV, Computer Vision
• Embedded Systems: STM32, ESP32, C/C++ Programming
• Control Systems & Automation: PID control, sensor integration, automated systems
• Computer Science: Data structures, algorithms, Python, Django, socket programming

• Research project at IIT Gandhinagar, utilizing neural networks to predict temperature profiles in selective laser melting (SLM) and laser deposition manufacturing (LDM).
• Collaborated with researchers on developing robust simulations using physics principles combined with neural networks.

• Built a YOLOv5-based model enhanced with RepVGG architecture for detecting emotions under poor lighting conditions.
• Focused on optimizing the model to accurately detect negative emotions like fear while treating other emotions as secondary.

• Designed and implemented a system for automated pH and EC control in hydroponics using ESP32 and DWIN touch display.
• Programmed the system to autonomously regulate nutrient levels and maintain optimal growing conditions for plants.

• Developed a soccer ball detection model using YOLOv5 and integrated it with a robotic platform.
• Trained the model using Roboflow for improved real-time object recognition and tracking during robotic soccer matches.

• 🥇 1st Place at DD Robocon 2023: Led the design of autonomous robots and won All India Rank 1.
• 🌍 Represented Team India at ABU Robocon 2023, achieving 6th rank internationally.
• 🏅 e-Yantra 2023: Secured a perfect score in this prestigious robotics competition by IIT Bombay.

• Bachelor of Technology in Computer Science and Engineering – Gujarat Technological University (Expected graduation: 2024)
• Specialization: Robotics, Embedded Systems, and Machine Learning
• CGPA: 7.99

• IIT Gandhinagar (March 2024 – July 2024): Contributed to the development of simulation models for additive manufacturing processes using PINNs.
• Robotics Software Intern at Forth Tech: Enhanced the Dingo Quadruped robotic platform, developed Arduino-based control scripts, and integrated simulation environments in Gazebo.

• Deep Learning Frameworks: PyTorch, TensorFlow
• Computer Vision: OpenCV, YOLOv5, RepVGG
• Optimization: Hyperparameter tuning, model pruning
• Data Processing: Pandas, NumPy, SciPy, Scikit-learn

• Robotic Platforms: ROS/ROS2, Gazebo, Rviz, ROS2 Nav2 Stack, Arduino, STM32
• Microcontroller Programming: C, C++, Python, UART, I2C, SPI
• Control Systems: PID, sensor integration, actuator control