Summary
Peter Makarov is a software engineer with nine years of experience specializing in natural language processing, machine learning, computational linguistics, and text-to-speech. He holds a PhD in Computational Linguistics from the University of Zurich and has moved between research and product engineering roles at top-tier organizations including Google, DeepMind, and Amazon. His work ranges from foundational NLU for Gemini/Bard to production speech synthesis for Alexa, demonstrating skill in taking research ideas into robust, scalable systems. Peter’s background straddles academia and industry, with long-term research experience and internships that inform pragmatic, data-driven solutions. Based in Zurich, he brings deep expertise in language technologies and a track record of shipping ML features in large-scale consumer products. Unusually for an engineer at this level, he blends editorial and translation experience from earlier work, which sharpens his attention to linguistic detail in model development.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Linguistics, Doctor of Philosophy - PhD, Computational Linguistics at University of Zurich
Master of Arts - MA, Computational Linguistics, Master of Arts - MA, Computational Linguistics at University of Tübingen
Diploma, Theoretical and Applied Linguistics, Diploma, Theoretical and Applied Linguistics at Moscow State Linguistic University
Russian, English, German