Summary
Ethan Hu is a pragmatic software engineer with eight years of experience building scalable playback, telemetry, and AI-backed systems for large media and enterprise platforms. He blends backend engineering, data-driven reliability work, and applied ML research—having shipped real-time upscaling prototypes, Kafka-based telemetry pipelines, and Spectator.js instrumentation at Crunchyroll and Netflix. Comfortable across AWS, TypeScript/JavaScript, SQL, and distributed systems, he ties production telemetry to user feedback (e.g., integrating Salesforce CRM with playback logs) to prioritize fixes for high-traffic content. His background spans avionics simulation testing at Boeing to AI research at Qualtrics and a master’s in AI, giving him both rigorous systems thinking and applied ML instincts. Notably, he has a knack for turning noisy production signals into replayable debug workflows and measurable reliability improvements. Based in the Greater Seattle Area, he focuses on shipping observable, performant systems that close the loop between users, metrics, and engineering.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA English Language and Literature General, Bachelor of Arts - BA English Language and Literature General at University of Washington
Johns Hopkins University
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Paul G. Allen School of Computer Science & Engineering
Masters of Science in Engineering - MSE Artificial Intelligence (In another life), Masters of Science in Engineering - MSE Artificial Intelligence (In another life) at University of Pennsylvania
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at The University of Texas at Austin
Master of Science - MS Computer Science (In another life), Master of Science - MS Computer Science (In another life) at Georgia Institute of Technology