🤖 Robotics and Machine Learning Engineer

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.

💡 Key Expertise:

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

🔬 Recent Projects & Research:

🤖 Physics-Informed Neural Networks (PINN) for Temperature Prediction in Additive Manufacturing

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.

📷 Facial Emotion Detection in Low-Light Conditions

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.

🌱 Automated Hydroponic System

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.

⚽ Object Detection for Soccer Ball

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.

🏆 Achievements:

🥇 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.

🎓 Education:

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

📚 Research Internships:

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.