Summary
Jingyu Zhu is a software engineer with over a decade of experience building large-scale, customer-facing systems across security, identity, and machine learning infrastructure. He has delivered high-throughput data pipelines and validation services at Palo Alto Networks, implemented streaming and analytics backends at LinkedIn, and now contributes to Meta’s ML feature storage and serving stack. Comfortable across Java, Python, Spark, Samza, HBase and distributed systems, he combines low-level engineering (embedded C work early in his career) with production ML infra design. Jingyu’s background blends rigorous CS training (MS with a 3.9 GPA) and hands-on ownership of pipelines that process billions of records and serve millions of users. Pragmatic and detail-oriented, he’s known for turning messy data into reliable, customer-ready products and for reducing operational turnaround times from hours to minutes. Based in Sunnyvale, he brings both breadth across the ML/data/identity landscape and depth in building resilient, scalable services.
11 years of coding experience
7 years of employment as a software developer
Bachelor's Degree, Electrical and Electronics Engineering, Bachelor's Degree, Electrical and Electronics Engineering at Fudan University
Master's Degree, Computer Science, 3.9/4.0, Master's Degree, Computer Science, 3.9/4.0 at Illinois Institute of Technology
Datong High School
English, Chinese