Vojtech Letal is a software engineer with 12 years of experience applying machine learning and AI to real-world systems, currently working on core modeling and safety for Gemini at Google DeepMind. He has a strong track record shipping production features—such as targeted response modification with high user acceptance—and building automated red-teaming systems to harden models against prompt-injection and adversarial vision attacks. Prior roles at Google Bard, Avast, and startups show breadth from large-scale LLM interaction design to optimization and game-theoretic solutions. He holds a Master’s in Artificial Intelligence (first-class honours) and enjoys experimenting with deep neural autoencoders and sentence embeddings in TensorFlow. Colleagues describe him as endlessly curious—he treats new technologies like toys to be explored deeply—and he pairs that curiosity with pragmatic engineering that reaches production. Based in Zurich, he blends research instincts with hands-on delivery in safety-sensitive, multimodal AI systems.
12 years of coding experience
10 years of employment as a software developer
Master’s Degree, Artificial Intelligence, First-class Honours, Master’s Degree, Artificial Intelligence, First-class Honours at Czech Technical University in Prague
Contributions:24 pushes, 1 branch, 1 tag in 3 years 8 months
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Vojtech Letal - Software Engineer at Google DeepMind