Michal Podhradsky is a research engineer in Portland, Oregon with 13 years of experience building embedded avionics and sensor systems for autonomous vehicles. Currently at Galois, he combines rigorous research with hands-on low-level engineering, drawing on a PhD track in Electrical and Computer Engineering from Portland State and advanced degrees in control and space technology. His open-source contributions to the well-known Paparazzi autopilot project include implementing I2C/SPI drivers and sensor fusion interfaces for Lidar, IMUs, and laser rangefinders, enabling robust autonomous missions. Previously he engineered electrical systems for motorsports and led embedded avionics development at AggieAir, giving him a rare blend of field-tested hardware and firmware expertise. Colleagues rely on him to bridge academic research and practical avionics solutions, often integrating mission computer interfaces that expand autonomy capabilities. He’s equally comfortable debugging bus-level communications as he is shaping research directions that translate into deployable systems.
13 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Electrical and Control Engineering, Master of Science - MS, Electrical and Control Engineering at Faculty of Electrical Engineering, Czech Technical University in Prague
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Portland State University
Master of Science - MS, Space Technology, Master of Science - MS, Space Technology at Luleå University of Technology
Paparazzi is a free and open-source hardware and software project for unmanned (air) vehicles. This is the main software repository.
Role in this project:
Embedded Systems Engineer / IoT Developer
Contributions:3 reviews, 262 commits, 166 PRs in 8 years 3 months
Contributions summary:Michal primarily contributed to the Paparazzi project by implementing and refining drivers and modules for sensors, specifically for various I2C and SPI-based devices such as the Lidar-Lite, the VectorNav IMU, and the Parallax SF11 laser rangefinder. The user's work involved interacting with low-level hardware, including I2C and SPI communications, and processing sensor data for use in the autopilot system. Additionally, the user integrated a mission computer interface, enhancing the system's capabilities for autonomous operations.
Contributions:1 PR, 47 pushes, 13 branches in 10 months
smolnpsrusttcp-ipopc
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Michal Podhradsky - Research Engineer at Galois, Inc.