Ian Hu is a software engineer with a decade of experience building large-scale web and ads systems, currently contributing to Databricks in Seattle. A University of Waterloo alumnus with a 3.91 GPA, he has implemented end-to-end solutions at Facebook and Google—ranging from ads ranking and custom training pipelines to automation that cut model retraining setup from weeks to hours. His background spans full-stack web development, distributed systems, networking (Magama/Open vSwitch), and production data pipelines across languages like Python, Go, C++, and Java. He has a track record of improving operational robustness—automating workflows, adding failure handling, and designing monitoring models for complex services. Though concise on GitHub, his internship and full-time roles show a knack for turning research-quality ideas into production features that serve millions. Based in Seattle, he combines strong academic foundations with hands-on delivery in high-scale engineering environments.
10 years of coding experience
5 years of employment as a software developer
High School, 96.5%, High School, 96.5% at A.Y. Jackson Secondary School
Bachelor’s Degree, Software Engineering, 91% | 3.91 CGPA, Bachelor’s Degree, Software Engineering, 91% | 3.91 CGPA at University of Waterloo
Cruise-control is the first of its kind to fully automate the dynamic workload rebalance and self-healing of a kafka cluster. It provides great value to Kafka users by simplifying the operation of Kafka clusters.
Contributions:47 commits, 14 PRs, 39 pushes in 7 months
Contributions:31 commits, 4 PRs, 33 pushes in 7 months
pythonflask-serverflaskbotslack-bot
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