Deep Parikh
PhD Candidate
College Station, Texas, United States
Summary
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SeniorDeep 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
Github Skills (18)
arduino6
esp82666
delay5
robotics5
driver4
ros4
arduino-library3
infrastructure3
non-blocking3
timer3
matlab2
firmware2
mavlink2
testing2
autopilot2
Programming languages (2)
Github contributions (5)
deepparikh/deepparikh.github.io
Mar 2022 - Jun 2026
Contributions:367 pushes, 7 branches in 4 years 3 months
deepparikh/QuadControl
Jan 2014 - May 2014
Contributions:28 commits in 4 months
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