marvin69
Solidity Engineer
With two years of hands-on experience in the blockchain space, my daily routine includes writing blockchain news reports, which keeps me highly informed and sensitive to the latest on-chain information and trends. This deep understanding of the blockchain landscape is further enhanced by my active contribution to the development of Cathay's consortium blockchain deployment toolkit, demonstrating my commitment to advancing blockchain infrastructure. As an avid DeFi explorer and a degen at heart, I'm always eager to dive head-first into the newest protocols.
Experiece: 6 months
Yearly salary: $30,000
Hourly rate: $20
Nationality: 🇹🇼 Taiwan
Residency: 🇹🇼 Taiwan
Experience
Intern
Cathay Blockchain 2024 - 2024
Participated in research on blockchain technologies such as DID, L2, and consortium blockchains Assisted in refactoring Cathay's proprietary BDK consortium blockchain deployment toolkit, contributing to the implementation of a command-driven architecture that simplifies the deployment process Successfully integrated multiple consortium blockchain platforms, including Quorum and Fabric, and continue to expand support for new chains like Besu Technologies: Typescript, Node,js, React, Solidity
Intern
CryptoPaul 2024 - 2024
Responsible for writing daily blockchain news reports on X platform, achieving an average daily traffic of 3,000 and a peak of over 20,000, attracting numerous imitators Participated in the production of YouTube videos explaining current events in the blockchain space
Contruibutor
Sats Community 2024 - 2024
Delivered an engaging presentation on Introduction to Move Language at an Aptos Workshop, providing attendees with a foundational understanding of Move's syntax, features, and use cases Facilitated interactive discussions and Q&A sessions, fostering a collaborative learning environment for participants to deepen their knowledge of Move programming
Intern
Chang Hwa Bank 2023 - 2023
Independently developed a retirement financial planning system integrated with a Taiwanese stock market machine learning-based intelligent recommendation system Utilized machine learning models to automatically recommend monthly investment portfolio targets and provided nine different strategy options based on user risk preferences Technologies: Python, React, Firebase
Skills
javascript
nextjs
python
react
solidity
typescript
english
chinese-mandarin