Summary
Gábor Melis is an AI research scientist based in Switzerland with 19 years of experience bridging deep research and production software engineering. At Google DeepMind since 2015 he has focused on language models, latent variable models, and optimization, drawing on a PhD in AI from UCL and a strong mathematical software background. His earlier work spans algorithmic trading research, Lisp systems and triplestore query engines, and architecture-led engineering roles—evidence of fluency across low-level systems and high-level probabilistic modeling. Colleagues know him as a hacker-researcher who moves comfortably between prototypes and rigorous research experiments. A less obvious strength is his long-term consistency: sustained contributions across both academia and industry that enable rapid iteration on complex ML systems.
19 years of coding experience
12 years of employment as a software developer
MSc, Software Architect - Mathematician, MSc, Software Architect - Mathematician at Eötvös Loránd University
University College London
English, Spanish, Hungarian