翁崎鈞

Epas Team

• Automated vulnerability scanning by setting up Nessus to scan running Azure VMs.

Remote Manager Team

• Designed and developed a Lambda scheduler system for automatic rotation of 3rd party passwords, enhancing security.
• Migrated Python framework and upgraded code from Python2 to Python3, ensuring codebase compatibility and maintainability.
• Collaborated with product teams on new feature development, demonstrating strong teamwork skills.
• Monitored and assisted in resolving client issues, ensuring customer satisfaction.
• Redesigned audit log system for API service:
  • Implemented asynchronous log storage in Redis for improved performance.
  • Aggregated logs before storing them in S3 for efficient data management.
  • Enabled querying with Athena for easier log analysis.
• Runner-up in the internal ideathon competition, showcasing innovation and problem-solving skills.

Backend RD Team

• Gogoro Energy Network Operation Platform:
  • Automated Gostation monitoring and repair ticket creation using a custom system, significantly reducing manual workload.
  • Developed real-time monitoring and operation reports for improved decision-making.
  • Implemented a flexible rule setting system configurable with NOC (Network Operation Center), streamlining operations.
    
• Operation System for Gostation:
  • Designed and built a high-concurrency service (2000 requests/sec) to efficiently process Gostation alerts.
    
• Eeyo App Backend Service:
  • Developed an integration service connecting the Eeyo app with account services for user behavior analysis.
  • Built a multi-region user login service for a broader user base.

• Performed API stress testing using JMeter, optimizing Java API server performance with automated test data creation.

• Smart Home Control Center:
  • Implemented OAuth 2.0 service for secure user login.
  • Integrated speech skill interaction model in a serverless environment using AWS Lambda, enabling seamless voice control
• Smart Factory with IoT:
  • Developed a system for Raspberry Pi to upload data to AWS IoT using MQTT, enabling efficient data collection.