Summary
Shuai Huang is a Senior Software Engineer based in San Jose with 11 years of experience building backend systems, currently engineering search infrastructure at LinkedIn. A Carnegie Mellon MS and UCSD CS alum, he brings a strong foundation in distributed systems and databases honed through internships at Snap, Hive AI, and Morgan Stanley. He has practical expertise across data pipelines, Airflow, BigQuery, Kubernetes, and a variety of storage engines (Postgres, Cassandra) and messaging systems, enabling reliable, large-scale services. Shuai’s trajectory shows rapid progression from research and teaching assistance to production engineering, reflecting both technical depth and an ability to translate models and data workflows into operational services. He’s particularly passionate about backend development and enjoys bridging data engineering and search platform work to improve system observability and performance. Colleagues describe him as a pragmatic engineer who pairs curiosity for new technologies with a track record of shipping durable infrastructure.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS Electrical and Computer Engineering , Master of Science - MS Electrical and Computer Engineering at Carnegie Mellon University Silicon Valley
University of California, San Diego
English, Chinese