Work Experience
Cronos Labs
Frontend Developer
Nov 2022 — Mar 2025
Taipei, Taiwan
- Developed a lossless lottery dApp using React, TypeScript, NextJS, and EthersJS, achieving 1.35M USD TVL
- Shipped an NFT staking feature and improved frontend performance by reducing unnecessary re-renders via memoization and caching, improving user experience on the lending platform
- Improved the lossless lottery winner experience by adding a “capture and share” flow for results across mobile and desktop (Windows/macOS)
- Developed token staking feature on an NFT marketplace, achieving TVL of USD 745K
- Built metrics and alerts on the Sentio platform using Node.js by tracing on-chain events and data through the Sentio SDK
Crypto.com
Frontend Developer
Mar 2022 — Nov 2022
Taipei, Taiwan
- Developed decentralized borrowing protocol using React, NextJS, TypeScript, and Web3JS
- Developed a liquid staking protocol which achieved a TVL of USD 13M
Appier Inc.
Software Engineer, Frontend Development
Oct 2020 — Mar 2022
Taipei, Taiwan
- Built a Customer Data Platform using React, TypeScript, Node.js, GraphQL, and MongoDB, with a strong focus on backend data processing and API integration, resulting in improved performance and customer satisfaction
- Collaborated with UI/UX designers, PM, and back-end team to clarify requirements, streamlining the development process and ensuring alignment across teams
- Planned and managed sprint execution for a 5-person frontend team; coordinated priorities and scope with PM, design, and backend to support predictable delivery
- Mentored junior engineers and new joiners through onboarding, pairing, and code reviews to help them ramp up quickly and follow team standards
- Participated in code reviews for the frontend team, helping maintain code quality, consistency, and shared engineering standards
Linker Networks Inc.
Frontend Engineer
Feb 2019 — Aug 2020
Taipei, Taiwan
- Developed a 2D image labeling system using TypeScript, React, Apollo GraphQL, NextJS, and KonvaJS, improving annotation accuracy and efficiency
- Developed a medical image labeling system for CT and MRI images, enhancing the precision and speed of medical annotations
- Developed a LiDAR point cloud labeling system using BabylonJS, enabling more accurate and efficient 3D data labeling
- Developed a Microsoft Vision on Edge solution using TypeScript, React, Redux, Redux-Thunk, KonvaJS, and Fluent UI, improving edge computing capabilities for image processing