Steven Hernandez is a Senior Research Scientist with 11 years of experience fusing applied machine learning, IoT, and software engineering to ship edge-aware sensing and large-scale ML systems. He’s contributed to flagship projects at DeepMind and Google—working on Gemini family models and Project Astra—while advancing WiFi sensing, federated learning, and lightweight speech models during his academic research. A NSF Graduate Fellow pursuing advanced CS degrees at Virginia Commonwealth University, he bridges rigorous publications (multiple IEEE/ACM papers) with hands-on embedded prototyping using ESP32/Arduino and production backend work. Equally comfortable in low-level device firmware and cloud-scale research systems, he brings an unusual combination of on-device optimization and large-model product experience. Based in Mountain View, he maintains a public portfolio and research footprint that surfaces both experimental prototypes and reproducible publications.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Virginia Commonwealth University
Extract Channel State Information from WiFi-enabled ESP32 Microcontroller. Active and Passive modes available. (https://stevenmhernandez.github.io/ESP32-CSI-Tool/)
Contributions:10 reviews, 71 commits, 5 PRs in 3 years 7 months
Contributions:29 commits, 28 pushes, 1 branch in 4 years 4 months
laravel-lumenlaravel-frameworkphplumenlaravel
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Steven Hernandez - Senior Research Scientist at Google DeepMind