Daniel Delago is a software engineer with 11 years of hands-on experience building flight-critical systems, robotics, computer vision, machine learning, and web tools across NASA, JPL, and SpaceX. He helped design and automate Falcon 9 flight software, ground-station telemetry, and deployment tooling at SpaceX and now applies that low-latency, reliability-first mindset to platform work at Meta. Comfortable across Python, C++, Go, and embedded/ROS stacks, he blends simulation-driven development (HIL/SIL) with practical integration and diagnostics from sensors to cloud APIs. His background includes real-time AR and telemetry pipelines at NASA and contributions to CI/testing frameworks for Mars missions, revealing a recurring strength: turning complex physical systems into verifiable, automatable software.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at The University of Texas at Arlington
A real-time web dashboard using Python, Flask, Socket.io, OpenCV, and jQuery.
Contributions:59 commits, 10 pushes in 8 months
pythonsocketsocket-iojqueryflask
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