Summary
Tianyu Zeng is a Senior Software Engineer based in San Jose with nine years of experience building data-driven systems and streaming architectures using Java, Kafka, PostgreSQL, and Node.js. He has contributed to measurement and ads platforms at SoFi and built agentic data companion tooling for data product creation during a stint at Meta. Tianyu’s background spans education tech and data-labeling pipelines at IXL Learning and Hive, where he focused on scalable marketing and labeling infrastructure that enabled better decision-making. He holds an MS in Software Engineering from Carnegie Mellon and a BS in Computer Science from UW–Madison, combining strong academic training with hands-on production delivery. Comfortable working across cross-functional teams, he favors pragmatic, high-impact engineering that bridges data and application layers. A detail that often goes unnoticed: he moves between legacy enterprise stacks and modern data tooling with equal fluency, making him effective at both greenfield projects and migrations.
8 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of Wisconsin-Madison
Master of Science - MS, Software Engineering, Master of Science - MS, Software Engineering at Carnegie Mellon University
English, Chinese