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The IASAS 2016 Track and Field @ Taipei American School Website
Ruby 17.85%
JavaScript 0.52%
CSS 3.26%
HTML 77.48%
CoffeeScript 0.45%
ApacheConf 0.15%
Nginx 0.28%
iasas_site's Introduction
Iām Current Working On:
- YouTube Music Understanding
- Researching ML models and building pipelines to serve various music attributes on YouTube (C++/Python/SQL).
- Learning Kotlin
- Building Web Apps in Rust
ICU4X
at Google, building out the ICU library in Rust, for support on resource constrained environmnets.
- Audio Diagnostics at Apple, researching ML techniques on identifying and resolving audio issues in iOS.
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