Artem Golub is a Data Infrastructure Architect with 13 years of experience designing and delivering scalable, cloud-native data platforms across healthcare and enterprise domains. Based in New York, he architects durable AWS and Snowflake ecosystems and leads development of AI-assisted analytics that combine ELT pipelines, LLM agents, and classic ML models for multi-step clinical workflows. At VillageMD he built hybrid systems where agents dynamically generate intermediate tables and orchestrate risk-adjustment and coding-gap analyses, and previously modernized large-scale ERP pipelines at Infor. Early career full-stack work powering a bibliographical platform with 30M+ users and financial market signal systems gives him rare end-to-end perspective from UI to data lake. He blends practical engineering with ML-forward design, often focusing on operationalizing LLM interactions with structured medical datasets. His background in CS and ML from Stanford plus a business-focused BFA equips him to bridge technical complexity and product impact.
13 years of coding experience
14 years of employment as a software developer
Bachelor of Fine Arts, Major in Business Administration, Minor in Computer Science, Bachelor of Fine Arts, Major in Business Administration, Minor in Computer Science at Baruch College
Non-Degree Program, Computer Science and Machine Learning, Non-Degree Program, Computer Science and Machine Learning at Stanford University
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