Shubham Nagar
Machine Learning Engineer @Magma Gießereitechnologie Gmbh
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WORK HISTORY
Machine Learning Engineer @Magma Gießereitechnologie Gmbh
Aachen, DE
Using various Machine Learning models like gradient boosting, deep neural networks, Gaussian Process Regression and Variational Autoencoders (VAEs) to predict the quality of parts manufactured by HPDC and Injection Molding machines.Using MPC to suggest control inputs in order to maintain the desired quality of manufactured products.
EDUCATION
RWTH Aachen University
Master's degree, Robotic Systems
RWTH Aachen University
Masters, Robotics Systems
Ramaiah Institute Of Technology
Bachelor of Engineering - BE, Mechanical Engineering
ABOUT SHUBHAM NAGAR
Mechanical Design Engineer with three years of industry experience in designing manufacturing-ready components, now specializing in robotics software, simulation, and control.I am currently pursuing a Master’s in Robotic Systems at RWTH Aachen, where I have gained both theoretical and practical experience with robotic kinematics, dynamics, classical and learning-based controls, Reinforcement Learning and various Machine learning algorithms and projects. A highlight would be getting a chance to successfully control a Kinova Gen3 robotic arm with IMU using Moveit2 Servo in a ROS2 humble environment.In parallel, I am working at MAGMA, where I focus on training various Machine learning models on data generated via simulation of processes such as HPDC and Injection Molding. The Aim in give suggestion to the machine operator on the production line about the optimal input parameters for the desired quality of the part.My goal is to work at the intersection of robotics, simulation, and control turning models and data into systems that move, adapt, and work in the real world.
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