Chinglun Lin is a software engineer with 12 years of experience building efficient, production-grade systems, currently working on Google's supercomputer infrastructure for machine learning in Mountain View. Previously he designed and operated an Android experiment and testing framework at Google and built resource-efficient data pipelines at BloomReach, earning internal awards for engineering excellence and culture. He combines a rigorous academic foundation from Carnegie Mellon and NTU with hands-on experience across research and industry, from HTC internships to CMU research roles. Known for writing clean, elegant code he’s proud to display, he focuses on performance, scalability, and operational robustness in large distributed systems.
12 years of coding experience
12 years of employment as a software developer
Master of Science (MS) Computer Software Engineering, Master of Science (MS) Computer Software Engineering at Carnegie Mellon University Silicon Valley
Bachelor of Science (B.S.) Electrical Engineering, Bachelor of Science (B.S.) Electrical Engineering at National Taiwan University
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