Lyric Hu
Chief Technology Officer at RevIQ
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolLyric Hu is a tech leader and revenue-focused CTO based in Los Angeles with a decade of engineering experience building full-stack products that help websites monetize more effectively. After hands-on roles from full-stack developer to staff engineer, Lyric now leads RevIQ’s technical strategy, blending practical adtech know-how with scalable engineering practices. Their background spans product engineering, content creation on YouTube, and applied manufacturing and measurement work at Sierra College, reflecting a rare mix of software, hardware, and audience-building experience. Known for a pragmatic drive to "be a better coder," Lyric combines data-informed optimization with developer-first tooling to improve ad performance and site economics. Comfortable both in startup velocity and technical mentorship, they prioritize shipping measurable business outcomes while maintaining engineering quality. An advocate for cross-disciplinary problem solving, Lyric leverages automotive and aerospace training to bring precision and systems thinking to modern web monetization.
10 years of coding experience
5 years of employment as a software developer
Associate of Science - AS, Aerospace, Aeronautical and Astronautical/Space Engineering, 3.35, Associate of Science - AS, Aerospace, Aeronautical and Astronautical/Space Engineering, 3.35 at Sierra CollegeRio Americano High School
English, Spanish
Github Skills (25)
genetic-algorithm9
gradient-descent9
particle-swarm-optimization9
spider9
music9
optimization8
python8
simulated-annealing8
generative-model7
dcgan6
generative-adversarial-network5
java4
latex4
tensorflow4
xelatex3
Programming languages (7)
Github contributions (5)
Lyrichu/JavaAlgorithm
Aug 2018 - Jan 2019
用java实现的常用的数据结构与算法,常用笔试/面试题等
Contributions:21 commits, 49 pushes, 2 branches in 4 months
java
Lyrichu/Python-Machine-Learning-Homework
Sep 2017 - May 2018
Contributions:16 PRs, 123 pushes, 1 branch in 8 months
pythonmachine-learning
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