Summary
Michal Starý is an applied scientist and machine learning researcher with eight years of experience building generative models and vision-language systems, currently working on generative modeling at Zillow. He combines strong academic training at TUM and CDTM with hands-on research stints at MIT and several industry labs, focusing on 3D computer vision, NeRF-style scene representations, and multi-view consistent image editing. Michal has a track record of translating research into practical systems—from deploying BERT-based pipelines in R&D to enabling natural-language interaction with outdoor scenes and open-vocabulary 3D segmentation. He is comfortable spanning research and engineering: prototyping novel algorithms, running ML experiments, and shipping containerized deployments. Fluent in ML for both spectral/NLP-inspired tasks and spatial generative modeling, he brings an interdisciplinary approach that often connects language, vision, and 3D geometry.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree Artificial Intelligence & Natural Language Processing, Bachelor's degree Artificial Intelligence & Natural Language Processing at Masaryk University Brno, Faculty of Social Studies
Master's degree Informatics, Master's degree Informatics at Technical University of Munich
Honors degree, Honors degree at Center for Digital Technology and Management (CDTM)
English, German, Italian