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Creator of RunOffTrack

Daniel Gaskins

Daniel Gaskins created RunOffTrack. He is a founder and applied AI and machine learning engineer who turns difficult, ambiguous problems into software that can be tested and used in the real world.

About the creator

Daniel designed and developed RunOffTrack as a practical system for making complex stormwater-compliance information and field resources easier to navigate. The project combines product design, structured content, interactive tools, and production web engineering.

His broader work spans agent evaluation, document AI, computer vision, cross-runtime machine learning, and the dependable application systems that surround model output. He studied condensed matter physics at the University of California, San Diego before moving into founder-led software and machine-learning work.

Visit DanielGaskins.com to explore Daniel Gaskins's selected projects, technical writing, open-source work, and professional background.

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