Gabriela Kadlecová is a Machine Learning Researcher and PhD student specializing in neural architecture search and small language models, currently building compact LLMs at Distil Labs. With eight years of experience spanning industry and academia, she has worked on applied ML at Neuron Soundware, modeled epidemiological and election scenarios at BISOP, and interned as an Applied Scientist at Amazon. Her research background includes a visiting stint at the University of Freiburg focused on zero-cost proxies and ongoing doctoral work at Charles University in Prague. Gabriela combines hands-on engineering and research, bridging agent-based modeling, LLM applications, and empirical NAS methods. She brings a pragmatic focus on resource-efficient models—an asset for production-constrained ML—and a track record of translating academic ideas into real-world systems. Based in Prague, she pairs rigorous AI training with collaborative cross-institution projects that influence public-health and policy-focused tools.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Univerzita Karlova
Magistr (Mgr.), Artifitial Intelligence, Magistr (Mgr.), Artifitial Intelligence at Univerzita Karlova v Praze
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Gabriela Kadlecová - Machine Learning Researcher at distil labs