Summary
Deep Parikh is a Robot Embedded Software Engineer with 12 years of experience building real-time GNC and control software for robotics and aerospace systems, currently developing embedded control stacks for Amazon Robotics' warehouse platforms. He holds an IIT Kanpur MTech and is a PhD candidate at Texas A&M where he developed and experimentally validated novel MPC and EKF-based pose estimation for small satellite and CubeSat docking, blending theoretical rigor with hands-on hardware integration. Previously at MathWorks he enabled end-to-end model-based workflows and hardware support for manipulators and PX4 autopilots, bridging simulation, code generation, and deployment. Deep combines low-level embedded skills—cross-compilation, multithreading, real-time comms—with system-level architecture and custom PCB and testbed design, and has moved research prototypes into transferable testbeds. Colleagues describe him as someone who loves aerospace controls yet pragmatically follows engineering rules to deliver robust, production-ready systems.
12 years of coding experience
10 years of employment as a software developer
Indian Institute of Technology Kanpur
Bachelor of Technology (B.Tech.), Instrumentation and control, PPI - 8.84 / 10, Bachelor of Technology (B.Tech.), Instrumentation and control, PPI - 8.84 / 10 at Nirma University, Ahmedabad, Gujarat, India
Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical/Space Engineering, 4.0/4.0, Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical/Space Engineering, 4.0/4.0 at Texas A&M University
English, Hindi, Gujarati