Mike Janson is a Principal Data Scientist based in Berkeley with 25 years of technical depth and a recent 11-year focus on delivering production ML and analytics across finance, mapping, media, and enterprise SaaS. He blends hands-on modeling—time series forecasting, recommender systems, experimentation and causal inference—with people leadership and product-facing engineering, having led cross-continental teams at Workday, HERE, and Spotify. Notable work includes automating high‑precision map feature extraction from heterogeneous telemetry and imagery, and shipping Adaptive Planning’s AutoML forecaster into production. He contributes to open-source projects as a full‑stack developer and technical writer, integrating services and improving docs for IoT/home-server ecosystems. With an MA in Statistics and dual BAs in Math and Economics from UC Berkeley, he pairs rigorous quantitative training with a pragmatist’s focus on scalable, auditable solutions.
11 years of coding experience
16 years of employment as a software developer
M.A., Statistics, M.A., Statistics at University of California, Berkeley
Contributions summary:Mike's commits primarily focused on developing and integrating features for the OpenWrt app actions repository. They added new functionality for the Ubuntu plugin, including setting up a form-based user interface using JSON, and integrating it with the existing structure. Additionally, they updated and integrated new services for other projects like Wxedge, HomeAssistant, Kodexplorer, Jellyfin, and Vaultwarden.
Contributions summary:Mike's commits primarily focus on enhancing and expanding the documentation for various products associated with the linkease/doc.linkease.com repository. They added and updated documentation for EasePi, iStoreOS, and iStore, including installation guides, changelogs, and FAQs. Their contributions involve modifying configuration files to integrate new documentation pages and components within the documentation framework.
istoreosddnstoistorenasopenwrt
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