Todd Stellanova is a seasoned engineering leader in Berkeley with 13+ years building and managing large teams across robotics, computer vision, ML, IoT, embedded systems, and cloud microservices. He’s held senior roles from Director to Senior Director at companies like Particle and Xwing and co‑founded Droneflow, combining hands‑on firmware, DSP/SDR and robotics engineering with strategic systems leadership. A prolific contributor to open firmware and drone projects (e.g., Particle device OS and QGroundControl), he brings pragmatic expertise in embedded C/C++, Python and Rust, and has solved low‑level performance and hardware integration challenges such as modem support and power management. His background in physics and product design gives him a rare ability to bridge hardware, software and product teams to deliver complex, real-world autonomous systems.
12 years of coding experience
22 years of employment as a software developer
BA, Physics, BA, Physics at University of California at Santa Cruz
Industrial and Product Design, Industrial and Product Design at California College of the Arts
Contributions:30 reviews, 50 commits, 23 PRs in 1 year 10 months
Contributions summary:Todd primarily contributed to the device OS firmware, focusing on optimizing performance and adding support for new hardware features. They made changes to improve the speed of pin operations, implemented LED control functions, and addressed issues related to serial number generation. Furthermore, the user added support for various Quectel cellular modems, including the BG95 and EG91 series, extending the device's compatibility with cellular networks. The user also worked on power management configurations and implemented WiFi country code settings.
Cross-platform ground control station for drones (Android, iOS, Mac OS, Linux, Windows)
Role in this project:
Full-stack Developer
Contributions:178 commits, 3 comments, 3 issues in 1 month
Contributions summary:Todd made several contributions focused on improving the user interface and functionality of the drone ground control station. They addressed Google Maps integration issues by implementing a map type selector using Bing maps, and also improved the user experience by zooming the map to a more human scale for the "Go Home" feature. Further contributions included fixing type conversion issues and implementing the display of full flight mode statuses.
linux-osios-androidiosdroneground
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