Maximilian Böther
Research Intern at ETH Zürich
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolMaximilian Böther is a PhD candidate at ETH Zurich and a Member of Technical Staff at DatologyAI, specializing in systems for data-centric AI with a focus on large-scale LLM/VLM training, data management for ML, and ML pipeline deployment. He has a strong publication record across SIGMOD, VLDB, MLSys, and ICLR and has contributed to practical systems such as Mixtera (a lightweight data plane for LLM/VLM training), Modyn (online-growing dataset training), and the national Swiss LLM project Apertus. His background in database systems (SIMD, PMem) and hands-on internships at Google and Apple give him both deep research rigor and production experience. He also contributes to open-source front-end work (notably on the LBRY desktop client) showing comfort across the stack from UI to systems. Educated at Hasso Plattner Institute (MSc, BSc) and ETH, he combines 11 years of engineering experience with an unusual blend of low-level systems expertise and large-scale ML infrastructure design.
11 years of coding experience
6 years of employment as a software developer
Abitur, 1.0, Abitur, 1.0 at Goethegymnasium HildesheimMaster of Science - MS, IT-Systems Engineering, 1.0, Master of Science - MS, IT-Systems Engineering, 1.0 at Hasso Plattner InstituteNebenhörer, Informatik, Nebenhörer, Informatik at Technische Universität BerlinDoktor (Ph.D.), Computer Science, Doktor (Ph.D.), Computer Science at ETH Zürich
German, English
Github Skills (5)
javascript10
ui-design10
react10
electron8
translation7
Programming languages (11)
Github contributions (5)
lbryio/lbry-desktop
Apr 2017 - Jun 2017
A browser and wallet for LBRY, the decentralized, user-controlled content marketplace.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:50 commits, 4 PRs, 8 comments in 1 month
Contributions summary:Maximilian primarily worked on the front-end aspects of the LBRY desktop application. Their contributions involved modifying UI components and addressing compilation issues related to lambda functions. They also integrated translations and made minor adjustments to page layouts, such as the publish page. These changes demonstrate a focus on improving the user interface and ensuring the application's usability.
marketplacereactcontrolledelectronbrowser
eth-easl/modyn
May 2023 - Mar 2025
Modyn is a research-platform for training ML models on growing datasets.
Contributions:735 reviews, 171 PRs, 864 pushes in 1 year 10 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.