Martin Beierling-mutz is a Senior Applied AI Engineer with 11 years of full-stack experience building high-performance backend systems and real-time collaborative apps using Go, TypeScript, and Python. As a founding engineer at a YC startup he architected and scaled an AI writing platform that produced 300M+ words, built a LangGraph-based agent system, and shipped a ProseMirror+Yjs real-time editor with live multi-user AI collaboration. At Electronic Arts he delivered consumer-facing products used by over 2 million users and engineered ML pipelines on SageMaker to double asset ingest speed, showing a rare mix of game-dev tooling and production ML ops. He contributes to front-end open-source work (notably an early React canvas drawing component) and has hands-on game programming roots in Unity and Godot. Based in Paderborn, Germany, Martin combines startup grit with enterprise-scale delivery and a penchant for turning creative workflows into measurable productivity gains.
10 years of coding experience
11 years of employment as a software developer
Nanodegree Deep Learning, Nanodegree Deep Learning at Udacity
Courses in Applied Informatics, Courses in Applied Informatics at University of Duisburg-Essen
Contributions:2 releases, 161 commits, 43 PRs in 3 years 10 months
Contributions summary:Martin primarily focused on building the front-end components for a React canvas drawing application. Their contributions included the initial implementation of the core drawing component and a demo application. They added features for saving and loading drawings, custom brush colors, and background images, demonstrating proficiency in React component development. Further, the user addressed bug fixes and improved the user interface.
Hobby-project using Twitch Chat, ML, Twitch-Kraken API, reactJS & firebase
Contributions:34 commits, 2 PRs, 31 pushes in 1 month
apikraken-apichattwitchnodejs
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Martin Beierling-mutz - Senior Applied AI Engineer at BoWatt GmbH