Shuai Tian is a software engineer based in Beijing with experience building infrastructure and personalization systems at major tech companies including Microsoft and Google. He has a strong academic foundation with a CS master's from USC (4.0) and a top-ranked bachelor's (3.8/4.0) from Beijing Jiaotong University, and practical experience across distributed systems, microservices discovery, and computer vision research. At Google he worked on Discovery Core infrastructure focused on user data, and at Goldman Sachs he designed and implemented a multi-datacenter Consul-based service discovery and monitoring solution. Shuai combines research instincts—having evaluated OCR and state-of-the-art detection models during a USC research role—with production-grade engineering practiced at large-scale companies. Early internships at ZTE and hands-on scripting/automation work show he is comfortable across both systems and applied ML tooling. He brings a blend of rigorous academic training and real-world infrastructure delivery in high-impact environments.
1 year of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, 4.0/4.0, Master's degree, Computer Science, 4.0/4.0 at University of Southern California
Bachelor's degree, 3.8/4.0, Bachelor's degree, 3.8/4.0 at Beijing Jiaotong University
DocumentDB is the open-source engine powering vCore-based Azure Cosmos DB for MongoDB. It offers a native implementation of document-oriented NoSQL database, enabling seamless CRUD operations on BSON data types within a PostgreSQL framework.
Contributions:9 reviews, 15 PRs, 37 pushes in 2 months
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