Summary
Farrokh Mehryary is a senior researcher and NLP specialist with over a decade of academic research and 20+ years of software engineering experience, combining deep expertise in biomedical text mining, protein bioinformatics, and large-scale deep learning. He has driven production-grade information extraction pipelines for the STRING database, processing millions of PubMed abstracts and full-text articles and running LLM fine-tuning across hundreds of GPUs. In industry roles at Silo AI he built RAG and PDF/table extraction systems, designed GenAI courses, and regularly translated client needs into deployable LLM solutions during pre-sales. Farrokh excels in low-resource NLP setups and optimizing LLMs for domain-specific tasks, bringing state-of-the-art research into practical deployments. His dual academic–industry career has yielded 4000+ citations and a pragmatic habit of moving innovations between lab and production. Colleagues value him for bridging deep algorithmic rigor with hands-on system design at scale.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Turun yliopisto - University of Turku
Master's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at Iran University of Science and Technology