PALAIT / 팔아잇 — Product development · Beta hardening
A sourcing-to-listing workflow for Korean sellers, connecting a web application and Chrome extension.
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Product Engineer · M.S. Student in Computer Science
I’m Eddie (Junyoung Sohn), a product engineer building web and mobile products and developer tools. I’m an M.S. student in Computer Science at Yonsei University’s Mobile AI and Systems Lab, interested in on-device AI and systems.
I’m an M.S. student in Computer Science at Yonsei University’s Mobile AI and Systems Lab (MAIS), advised by Professor Seonghoon Park. My interests include on-device AI, inference latency, and resource use in continuously running applications.
A sourcing-to-listing workflow for Korean sellers, connecting a web application and Chrome extension.
Validation for Python dictionaries and configuration, using ordinary types and no required runtime dependencies.
https://github.com/junyoung2015/zodifyKorean address information and search, with attention to address-data relationships and useful page structure.
https://thejuso.krA webcam-based posture-sensing prototype using local inference. A practical setting for questions about continuous vision and resource use.
TypeScript, React, Next.js, React Native, Python, Chrome extensions, C, Unix.
My product work spans TypeScript, React, Next.js, React Native, and workflow automation. I also build Python developer tools and study systems through C and Unix projects. I develop PALAIT through Nanocraft, finding research questions in the behavior and constraints of software people use.
Independent projects are separate from lab affiliation. · https://jusohn.com/en/