Deval Shah

Deval Shah is a Sr. Deep Reinforcement Learning Research Engineer at Nimble since July 2021, specializing in warehouse automation through reinforcement learning techniques. Prior experience includes roles as a Deep Reinforcement Learning Research Engineer II and Computer Vision Engineer at the Human-Computer Interaction Institute, Carnegie Mellon University, where Deval developed a 3D digital-twin of classrooms. Additional experience encompasses work as a Robotics Engineer at Aitech Robotics and Automation, creating a prototype self-driving forklift, and at GreyOrange. Deval participated in the 2016 Google Summer of Code with RTEMS and contributed as an intern at Tonbo Imaging and the MIT Media Labs, focusing on virtual reality and eye diagnosis technology. Deval holds a Master's degree in Robotic Systems Development from Carnegie Mellon University and a Bachelor's degree in Electrical and Electronics Engineering from Birla Institute of Technology and Science, Pilani.