Carlos Guo is a Machine Learning Engineer based in Hangzhou with 11 years of experience building data-driven systems across finance and technology firms. He currently develops ML solutions at 星大资本, after earlier roles as a data warehouse engineer and data developer where he honed ETL, pipeline and analytics skills. Trained in electrical and communications engineering at Yan'an University, he combines strong data engineering fundamentals with applied machine learning for production environments. Known for an ambitious learning mindset and drive to innovate, he often bridges research ideas with pragmatic deployments in fast-moving business contexts. Although his public GitHub presence is minimal, his decade-plus industry track record reflects steady progression from data engineering into machine learning production.
11 years of coding experience
3 years of employment as a software developer
学士, Electrical, Electronics and Communications Engineering, 学士, Electrical, Electronics and Communications Engineering at Yan'an University
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