Summary
Fedor Sizov is a Machine Learning Engineer and NLP student at Saarland University with a decade of hands-on experience building production-grade tools and research systems. He blends applied engineering—developing LLM applications for document layout understanding at DocuWare and automating data collection and backend improvements at startups—with academic research on translation artifacts as a first author at EMNLP. Comfortable across the stack, he has shipped parsers, introduced unit testing practices, and automated hardware lifecycle workflows during an internship at Yandex. His current work explores multilingual LLM capabilities, reasoning, and interpretability, grounded in computational linguistics and practical deployment challenges. A practical researcher-engineer, he often moves between prototyping research ideas and scaling them into reliable pipelines.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Linguistics, Bachelor's degree, Linguistics at Russian University of Humanities
Bachelor of Science - BS, Computational Linguistics, Bachelor of Science - BS, Computational Linguistics at Universität des Saarlandes
German, English, Latin, Greek, Russian