Summary
Aleksei Artemiev is a Machine Learning Engineer and AI architect with eight years of experience building production ML systems across LLM agents, document intelligence, workflow automation, scientific AI, and protein engineering. He has co-founded and led AI-native startups and research teams, turning natural-language requests into reproducible protein-engineering workflows and shipping end-to-end tools for antibody optimization, structure prediction, and antigen–antibody modeling. Aleksei combines applied research—co-authoring a NAACL 2024 publication on NLP topics—with hands-on deployment experience in domain-specific LLM tooling for finance, compilers, and automation. Based in Barcelona, he blends a strong academic background in software engineering and physics/math with practical skills in RL, AutoML, graph/transformer models, and scientific simulation, often mentoring peers and accelerating ML pipelines. Notably, his work bridges lab-facing bioinformatics and production ML, making complex protein design accessible to biologists through language-driven workflows.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at ITMO University
Bachelor's degree, Physics and Mathematics, Bachelor's degree, Physics and Mathematics at Peter the Great St.Petersburg Polytechnic University
Russian, English, Spanish