Built by people who've been in the field.

Dakota is an autonomous-systems and electronic-warfare engineer. Before TrailSense, he worked on GPS resiliency and anti-jamming at Infinidome, scaled a San Francisco autonomous-ground-robot startup that paints survey points on solar-farm construction sites to centimeter accuracy, and ran field intelligence across the U.S. and the Middle East.

He started TrailSense after watching agency after agency hit the same wall: detection gear that works on a slide deck but fails when it's sitting in a creosote bush in Texas in August. Every gap TrailSense closes is one he has seen first-hand.

At TrailSense he runs the company - product direction, customer conversations, hardware architecture, and the deployments themselves. The sensor he sketched in a notebook is now in the ground.

Cody works at the intersection of mobile software and machine learning, with a particular focus on getting models to run well on resource-constrained devices. As a Software Engineer III at Technergetics, he spends his days building React Native apps that perform real-time computer vision in the field, designing the GraphQL services behind them, and wrestling PyTorch models into formats that can actually run on a phone (ExecuTorch, TFLite, ONNX).

A few years back he wrote Deno-Redlock, a distributed lock manager built around the Redlock algorithm and Redis-backed Lua primitives. It remains the only library of its kind in the Deno ecosystem and has picked up a small but loyal following on GitHub. Earlier in his career, he taught at Codesmith Engineering, where he ran lectures on everything from JavaScript internals to CI/CD and mentored junior engineers through full product launches.

At TrailSense, Cody owns the software end-to-end: the firmware driving the detection engine on the microcontroller, the ingest pipeline, the mobile apps, and the on-device LLM that powers TrailSense AI. He holds a Secret clearance and is wrapping up an Electrical Engineering degree at Lamar — a deliberate move toward the RF and embedded work that increasingly defines what TrailSense is building.