Summary
Balazs Toth is a Principal Machine Learning Engineer with 11 years of experience designing and shipping LLM-driven solutions and production ML systems across enterprise and startup environments. Based in Copenhagen, he has led LLM initiatives and knowledge-graph projects at Combient Mix and now heads advanced ML work at AMD Silo AI, building on prior roles developing contextual bandit recommenders at IKEA and fraud-detection models at Trustpilot. He combines a strong software engineering background (Java, .NET, Python, cloud platforms) with formal training in software development and philosophy, which informs a pragmatic yet thoughtful approach to model design and product integration. Known for mentoring data science teams and translating research into scalable systems, he often bridges applied ML research and engineering to deliver measurable business impact.
11 years of coding experience
11 years of employment as a software developer
Master of Science (MSc) Software Development, Master of Science (MSc) Software Development at IT-Universitetet i København
Master of Arts (MA) Philosophy, Master of Arts (MA) Philosophy at Eötvös Loránd University
Japanese, English, Hungarian, Danish, Sanskrit