Stephen Dunn is a seasoned software engineer and startup co-founder based in San Diego with 12 years of experience building embedded systems, signal-processing features, and machine learning infrastructure. He led device-focused development at Amazon (Lab126/Alexa) and contributed to ML hardware/software work at Annapurna Labs on Inferentia and Trainium before co-founding a stealth startup in 2023. His background blends academic research in motion planning and heuristic search with hands-on engineering in keyword detection and audio signal algorithms from his XMOS tenure. Comfortable spanning research, firmware, and cloud ML stacks, he brings a pragmatic engineer’s mindset—summed up by his playful GitHub motto “Eppur si muove”—that signals a curiosity-driven approach to shipping robust, compatible systems.
12 years of coding experience
9 years of employment as a software developer
Master's coursework, Computer Science, Master's coursework, Computer Science at University of New Hampshire
Contributions:28 releases, 179 pushes, 3 branches in 1 year 3 months
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