Summary
Li Zhang is a software engineer with 8 years of professional experience and over 6 years of hands-on coding, specializing in cloud-native infrastructure, RESTful services, and automated training pipelines for robotic ML. He has driven end-to-end projects—most notably building a cloud training pipeline at Vicarious AI—covering architecture, implementation, and deployment using Kubernetes, Airflow, Dataflow, Docker, and Google Cloud. Comfortable across Java, Python, SQL, Swift, and shell, Li blends systems thinking with solid algorithmic foundations and MVC design to deliver reliable services and platforms. His background spans startups and large enterprises, from Amazon customer-service platforms to AI-focused teams at Geomagical Labs, giving him depth in both product-driven and scalable infrastructure work. Strong in team collaboration and agile processes, he often bridges ML workflows and production engineering to shorten the path from experiments to deployed models. Based in the United States and holding a CS master’s from Fudan University, Li brings a pragmatic, multidisciplinary approach that favors automation and reproducible pipelines.
8 years of coding experience
8 years of employment as a software developer
Master, CS, Master, CS at Fudan University