Summary
Zijun Tian is a Member of Technical Staff with nine years of hands-on experience building end-to-end cloud and data infrastructure for AI and analytics teams, most recently contributing to Microsoft AI after leading data collection and evaluation pipelines at Apple. He combines full-stack development (SwiftUI, React, Flask, Gin) with deep cloud expertise on AWS and infrastructure-as-code (CloudFormation, Terraform, Packer, Ansible) to deliver scalable storage and ETL platforms using Delta Lake, Trino, Spark, and Airflow. Zijun has led Looker platform onboarding for tens of teams and designed access-controlled DBaaS and S3-backed Delta Lake solutions that bridge analytics, ML, and product needs. Comfortable in customer-facing roles, he blends technical leadership with trust-building and a practical focus on production-grade monitoring and observability. An alumnus of Cornell and Zhejiang University, he brings a rare mix of perception-data experience for emerging hardware and large-scale ML pipelines.
9 years of coding experience
6 years of employment as a software developer
Visiting Student, Electrical and Computer Engineering, Visiting Student, Electrical and Computer Engineering at The University of British Columbia
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Cornell University
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Cornell Tech
Bachelor of Engineering - BE, Software Engineering, Bachelor of Engineering - BE, Software Engineering at Zhejiang University