EMPLOYMENT
POS system:
- Served as the primary developer responsible for designing and implementing the POS system (Web/Mobile).
- Designed and implemented remote control functionality for POS peripheral devices.
- Designed and implemented third-party system integrations.
- System Under Test: Analyze and implement the POS System test and improve test coverage.
- Researched and implemented an AI assistant using RAG.
Shopee Smart Pickup Station:
- Designed and implemented the backend for the Smart Pickup Station system.
- Optimized a database with tens of millions of records, improving query efficiency by 70%+.
Middleware service between E-Commerce server and client:
- Designed and implemented middleware services using Node.js, Express, and MongoDB.
- Build microservices with AWS (Lambda, SES, SQS, S3, API Gateway, etc.).
- Design RESTful API and build a document of the implementation plan.
Outo outdoor activity platform:
- Designed and implemented the back-end server using TypeScript, Express, MySQL.
- Build servers with AWS (EC2 , VPC, RDS).
Internal production line management system:
- Designed and implemented the front-end production line management system using Vue.js.
- Responsible for timeline analysis, technical evaluations, introducing new technologies, and mentoring junior engineers.
Jukebox Administration Website:
- Designed and implemented back-end website using React.js, GraphQL.
CNC(Computer Numerical Control)::
- Designed and implemented a web HMI using React.js.
- Maintained and implemented motion controller and algorithm (Rust language).
- Integration of web HMI and motion controller.
- Maintained the web HMI (Yahoo Mojito framework) and motion controller of a CNC system over 5 years old.
IoT system integration:
- Designed and implemented data collection of peripheral sensors using Node.js.
- Designed and implemented CNC monitoring with MTConnect protocol.
- Using Modbus protocol to fetch data from sensors on ARM-based.
EDUCATION
Graduate Student
National Yunlin University of Sci. & Tech.
Jul 2013 - Aug 2015
- Thesis: Intelligent Autonomous Vehicle with LiDAR Guidance (https://reurl.cc/j77NxD)
- Refine the experimenting UGV platform with Linux-based (Raspberry Pi). (https://reurl.cc/72V8x9)
SKILLS
Programming Languages
- TypeScript/JavaScript
- Flutter
- Rust
Technologies
- Node.js/Nest.js
- React.js/Vue.js
- MongoDB/SQL/Redis
- RESTful API/WebSocket
Dev.Tools
- Git
- Docker
- GCP/AWS
- Vim/tmux