Tianyu Hong is a Senior Software Engineer based in California with 10 years of experience building data infrastructure and production-grade analytics platforms. He has led Trino/Presto upgrades and operated Druid at Lyft to support 400k+ daily queries, and now applies that expertise at Apple on large-scale backend systems. His background spans real-time ETL, ML-infused data pipelines (Pulsar), and integrations from industrial data sources to relational stores, reflecting a strong cross-domain fluency between data engineering and applied ML. Trained at Zhejiang University and Carnegie Mellon, he combines rigorous academic grounding with a pragmatic track record of moving open-source query engines into Tier-1 services.
10 years of coding experience
6 years of employment as a software developer
Master’s Degree, Electrical & Computer Engineering, 3.9/4.0, Master’s Degree, Electrical & Computer Engineering, 3.9/4.0 at Carnegie Mellon University
Bachelor's degree, Biomedical/Medical Engineering, 3.84/4.00, Bachelor's degree, Biomedical/Medical Engineering, 3.84/4.00 at Zhejiang University
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