Daniel Ye is a software engineer with a decade of practical experience and a Computer Science degree from Cornell, currently building production systems at Google. He brings a strong full-stack and systems background—shipping a Rust-based SQL-to-Mongo transpiler at MongoDB and performance-focused services using Go, gRPC, and Python in prior internships. Daniel has applied machine learning and data engineering skills to real problems, from weather prediction models and sentence-embedding servers to manufacturing optimization that increased yield and revenue. Comfortable in both academic and industry settings, he’s also supported learning as a long-running TA and contributed to sustainability-focused engineering projects. Known for measurable impact—30x performance gains in embedding services and multimillion-dollar production improvements—he blends rigorous engineering with attention to real-world outcomes.
10 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at Webster-Schroeder High School
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Cornell University
Automatically generate Google Cloud Platform support for OSS IaaC Projects
Contributions:2 pushes, 1 branch in 1 year
gcpappengineossgooglegoogle-cloud-platform
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