Summary
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