Serena Kuo is a Senior Software Engineer based in New York with six years of experience building full-stack applications that prioritize usability and thoughtful design. She has shipped production features across startups and security-focused teams—from crafting Electron-based database tooling at SeeQR to improving frontend reliability and end-to-end testing at companies like HackerOne and Eko. Comfortable across Node, React/TypeScript, Docker, and PostgreSQL, Serena blends product-minded UI work with backend architecture and developer tooling. She mentors engineers, champions reproducible development environments, and has a foundation in film and digital media that informs her attention to user experience and visual clarity. Notably, she helped architect SeeQR’s granular SQL schema/ query analytics and app shell, reflecting an interest in developer-facing tools that surface actionable insights.
5 years of coding experience
11 years of employment as a software developer
Bachelor of Fine Arts - BFA Film/Cinema/Video Studies, Bachelor of Fine Arts - BFA Film/Cinema/Video Studies at New York University
Master of Fine Arts (M.F.A.) Digital Media, Master of Fine Arts (M.F.A.) Digital Media at Rhode Island School of Design
A database analytic tool that allows developers to compare the efficiency of different schemas and queries on a granular level to make better informed architectural decisions regarding SQL databases at various scales.
Role in this project:
Backend & Frontend Developer
Contributions:9 reviews, 76 commits, 13 PRs in 1 month
Contributions summary:Serena contributed to setting up the Electron application, separating the webpack configuration for development and build environments. They implemented features for opening the Electron app in dev mode and incorporated a splash window for the application. Further, they refactored the application structure to include main and schema components and created a functional modal window to facilitate schema input.
A database analytic tool that allows a developer to compare the efficiency of different schemas and queries on a granular level to make better informed architectural decisions regarding SQL databases at various scales.
Contributions:1 commit, 41 pushes, 11 branches in 1 day
decisionsmysqlanalyticsqldatabases
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