Summary
Fedor Nikolaev is an AI researcher and consultant with 13 years of experience bridging deep learning, NLP, and bioinformatics, currently based in Yerevan. He has driven applied research and production NLP pipelines at Epistemic AI and AIRI, focusing on search relevance for biomedical literature and structural biology applications. His background blends academic rigor from Wayne State University (Ph.D./M.Sc. work) with hands-on engineering at Google, Markforged, Yandex and startups, spanning entity retrieval, serverless IoT pipelines, and ad-traffic graph analysis. Fedor’s work often targets the intersection of language models and life sciences, turning research prototypes into tools that improve information retrieval for domain experts. He pairs deep technical expertise with practical product-focused impact, and his long trajectory from teaching and research to industry roles shows a strong ability to communicate complex methods to diverse teams. An under-the-radar strength is his experience in both low-level systems (C++, distributed data processing) and high-level ML research, enabling end-to-end solutions.
13 years of coding experience
6 years of employment as a software developer
Ph.D. M.Sc. Computer Science, Ph.D. M.Sc. Computer Science at Wayne State University
Specialist degree Mathematics and Computer Science, Specialist degree Mathematics and Computer Science at Kazan State University
Russian, English