Professional Experience

Server Side Experience

• Developed RESTful API with Python / Node.js and MySQL / MongoDB and used Swagger to maintain API
• Designed DB schema in MySQL and Tuned DB performance, including SQL analysis / optimizing table schema
• Data collection and analysis with Python, including ETL, text-mining
  
• 3rd-party backend services integration, e.g. FB API, Linebot(LIFF), SMS system
• Used Sentry to trace issues and monitor service performance
• Used Elasticsearch to build search engine for social public opinion analysis system 
• Handled DB replication mechanism and drafted a Disaster recovery plan for the product.

AI Model Related Experience

• Used RAG (Retrieved Augmented Generation) method to enhance AI model accuracy
• Worked with Data Scientist and discuss how to integrate OpenAI service and manage prompts
• Used Typesense as vector database and encode products to embedding for searching
• Prepare few shot examples, encoded to embedding and managed by vector database

Cloud Experience (GCP , AWS)

• Used ECS to deploy system service and trace log from CloudWatch
• Used RDS / CloudSQL to save system data and integrated with backend service
• Used GCS / S3 to store users' images (like identification / signature) to improve static assets accessing
• Used Serverless service (GCF, Cloud Run, Lambda) to deploy Python crawlers and partial Node.js functions.
• Improved network security by configuring private VPC, firewall and WAF (Cloud Armor) 

Client Side Experience

• Used Vue and Vuex to build SPA website
• Integrated backend APIs to implement separation of frontend / backend
• Refactored old project code by creating more reusable components, and improved client-side performance

Others

• Used Jira, Confluence, Slack, Google meet to manage project and implement Agile development
• Utilized Jenkins as CI/CD tools to enhance deployment efficiency