Lincoln Lin is a software engineer with 11 years of experience building large-scale, high-throughput systems at Meta from the Bay Area. He helped design and ship Instagram Broadcast Channels to hundreds of millions of users and built Cosco, a shuffle service that improved Apache Spark IO efficiency by 7.5x to support exabyte-scale pipelines. Currently focused on GenAI annotation infrastructure, he combines distributed-systems rigor with product-oriented delivery. Trained with a MS in Computer Science from UC Berkeley and a BS from Northwestern, Lincoln blends academic grounding with hands-on production impact. An understated strength is turning demanding performance constraints into pragmatic, deployable services that scale.
11 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of California, Berkeley
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Northwestern University
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