Daniel Song
Software Engineer at Leviton
Portland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolDaniel Song is a software engineer based in Portland, Oregon with a decade of experience building practical, maintainable systems across embedded, backend, and ML domains. At Leviton he moved from intern projects—like a Raspberry Pi-based USB-to-CAN emulator, firmware updater refactoring, and a Node/Mongo/React log dashboard—to a full-time engineering role, demonstrating an ability to bridge hardware-adjacent tooling and web stacks. His background includes prototyping audio-detection ML models with Librosa and deep networks to reduce data collection costs, and earlier localization and QA work that sharpened his attention to user-facing details. Daniel favors simplifying complexity and improving reusability and performance, often surfacing human-readable insights from low-level data. He holds an MS from Portland State and a BS from Oregon State, pairing formal CS training with hands-on systems and prototype delivery.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Portland State UniversityBachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Oregon State University
Korean, English
Github Skills (18)
google-vision7
react7
react-table6
grids6
grid5
spotify-api5
jam4
trails4
spotify4
discovery3
datagrid3
music3
bootstrap3
nodejs3
near2
Programming languages (3)
Github contributions (5)
dsong127/dsong127.github.io
May 2019 - Jun 2022
Contributions:61 pushes, 1 branch in 3 years 1 month
dsong127/music-discovery
Jun 2019 - Apr 2020
Spotify Music discovery using Google Vision, Node js, Express, and Bootstrap
Contributions:43 commits, 33 pushes, 1 branch in 10 months
visionnode-jsmusic-discoveryexpressspotify
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