Magnus Müller is a founder and applied AI engineer based in Zurich with five years of hands-on experience building ML-driven products and web interfaces for LLMs. He co-founded Browser Use to bridge LLMs and the web and previously led GreenWAI, applying floating car data to optimize traffic lights and cut CO2—demonstrating a knack for turning sensor-lightweight ideas into real-world systems. His R&D background spans graph neural networks, deep reinforcement learning, transformers and digital twins from roles at Aucos and Cambridge CARES, and he contributes to open-source tooling that enables browser automation for AI agents. Comfortable shipping backend systems and research prototypes alike, Magnus blends adventurous, founder-level risk-taking with rigorous cognitive-science and data-science training from Universität Osnabrück and ETH Zürich. An unusual strength is his pattern of moving between bootstrapped hardware-adjacent deployments and cutting-edge ML research, giving him uncommon perspective on applied AI productization.
5 years of coding experience
3 years of employment as a software developer
noch kein Abschluss, Elektrotechnik, noch kein Abschluss, Elektrotechnik at Hochschule Osnabrück
Cognitive Science, 1.1/1.0, Cognitive Science, 1.1/1.0 at Universität Osnabrück
Exchange Semester, Machine Learning, Exchange Semester, Machine Learning at National University of Singapore
Y Combinator
Master, Data Science, Master, Data Science at ETH Zürich
Contributions:32 releases, 5 reviews, 387 PRs in 4 months
Contributions summary:Magnus contributed to the project by setting up the core structure, including the creation of files such as `browser_actions.py`, `state.py`, `action_validator.py`, and `selenium_utils.py`. They implemented a `BrowserActions` class that interacts with a browser instance using Selenium to perform actions like searching Google, navigating to URLs, clicking elements, and inputting text. They also designed a `StateManager` class to manage the current state of the browser and implemented functions to extract information from the page.
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