Daniel Agar
Software Developer at Freelance
Gainesville, Florida, United States
Summary
🤩
Rockstar🎓
Top School
Top expert inAutonomous Robotics and Computer Vision Development
Daniel Agar is a seasoned software developer with 14 years of experience specializing in embedded systems, autonomous vehicles, and the PX4 autopilot ecosystem. Based in Gainesville, Florida, he is a long-time PX4 core contributor and freelance engineer who has shipped low-level firmware, device drivers, and simulation integrations used by widely adopted projects like PX4 and QGroundControl. His work spans RTOS (NuttX) enhancements for STM32 microcontrollers, MAVLink integration, GPS driver improvements, and simulation tooling—often focusing on reliability, performance and build-system optimizations such as ccache support. Formerly at Prioria Robotics and IBM (J9/OMR), he pairs systems-level rigor from computational physics training with practical debugging and code-quality improvements. Notably, he has fixed subtle issues across high-impact open-source repos (buffer overflows, DMA tuning, geotagging/simulation timing) that directly improve safety and developer experience for drone software. He combines curiosity for hardware-software interfaces with a pragmatic drive to ship maintainable embedded code.
14 years of coding experience
7 years of employment as a software developer
BSc, Computational Physics, BSc, Computational Physics at University of Waterloo
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (42)
directmemory10
c-language10
nuttx10
sens10
realtime10
gazebosim10
autopilot10
qt10
dma10
mavlink10
cmake10
abstraction-layer10
microcontroller10
spi10
cal10
Programming languages (16)
Github contributions (5)
PX4/PX4-Autopilot
Dec 2014 - Jan 2023
PX4 Autopilot Software
Role in this project:
Embedded Systems Engineer
Embedded Systems EngineerContributions:25 releases, 3525 reviews, 5524 commits in 8 years 2 months
Contributions summary:Daniel's contributions primarily involve the development and modification of embedded systems code, particularly within the context of the PX4 Autopilot Software. The commits demonstrate a focus on low-level hardware interactions, including code adjustments related to sensor calibration and data handling. The user also contributes towards improving the functionality and reliability of the system through fixes in bootloader operations, and contributions to the sensor communication pipeline.
multicopteravoidancedroneuasraspberry-pi
PX4/PX4-GPSDrivers
Jan 2017 - Oct 2022
Platform independent GPS drivers
Role in this project:Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:18 reviews, 30 commits, 32 PRs in 5 years 10 months
Contributions summary:Daniel primarily contributed to the GPS driver implementations within the repository. Their work involved initializing time information for various GPS modules (UBX, MTK, Ashtech), simplifying boolean expressions, and fixing code styling. They also added automatic gain control monitoring for UBX, allowed for setting the dynamic model in UBX, and added a new sensor_gnss_relative message for NAV_RELPOSNED.
driversplatform-independentindependentgarmingpx
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