Si Lao
Staff Software Engineer at Uber
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolSi Lao is a Staff Software Engineer with 12 years of experience building planet-scale streaming and media data infrastructure, currently focused on Kafka and Pinot at Uber. He has driven large-scale streaming platforms and media processing systems as a tech lead at LinkedIn and earlier roles, blending deep distributed-systems research roots from Carnegie Mellon with hands-on production experience. His work spans end-to-end data pipelines, real-time serving, and in-house video processing, demonstrating both architectural vision and implementation craft. Based in Pittsburgh, he consistently tackles low-latency, high-throughput challenges at hyperscale—bringing a researcher’s rigor to production engineering.
12 years of coding experience
7 years of employment as a software developer
Bachelor's Degree, Computer Software Engineering, Bachelor's Degree, Computer Software Engineering at Sun Yat-sen UniversityMaster’s Degree, Computer Science, Master’s Degree, Computer Science at Carnegie Mellon University
English, Chinese, Chinese
Github Skills (32)
python10
machine-learning10
deep-learning10
data-science9
tensorflow9
neural-network9
apache-kafka8
deep-neural-networks8
kafka8
scala8
ml8
java8
sdk7
media7
scs6
Programming languages (3)
Github contributions (5)
laosiaudi/coda
Jul 2016 - Nov 2016
Contributions:115 pushes, 2 branches in 3 months
networkedcodanetworkingcmudepartment
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