Peter Polak is an experienced researcher and engineer specializing in computational linguistics and speech technology. From July 2018 to October 2018, Peter worked as a Research and Development Engineer at Broadcom, where contributions included modernizing the HLASM development workflow and creating tools for custom report development. Following that, Peter served as a Speech Technology Scientist at AppTek.ai from February 2024 to June 2025, where a significant optimization of machine translation models was achieved, leading to substantial improvements in speed and energy efficiency. Currently, Peter is a Research Scientist at Meta's Superintelligence Lab, focusing on designing a multi-modal speech-to-speech Llama 4 model for real-time conversational AI. Peter's academic background includes a Bachelor's and Master's degree in Computer Science, a Doctor of Philosophy in Computational Linguistics, and research stays at prestigious institutions including Carnegie Mellon University and Karlsruhe Institute of Technology.
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