- Built an R&D team from scratch, nurturing and managing team members to ensure continuous improvement in productivity and efficiency.- Led the research and development project of the Internet of Vehicles insurtech platform, processed billions of data, and successfully realized the development and deployment of the UBI (Usage-based insurance) system.- Planned and executed product and R&D strategies, aligning with business strategies to ensure consistency and continuous innovation in technology and product direction.- Established an AI development process, integrating technology with business strategies to achieve effective development and application of AI, enhancing product functionality and user experience.- Established a remote working mode, formulated communication principles, information flow, and task management mechanisms to promote team collaboration efficiency.- Utilized Kubernetes in conjunction with DevOps and GitOps processes to effectively manage infrastructure, improving the efficiency and stability of the development process, achieving a 99.9% SLA.- Designed cloud architecture and formulated office information security policies to ensure the security and reliability of information. Achieved the goal of a risk-free security report through regular security reviews and vulnerability scans.- Introduced new technologies and information services to maintain the team's leading position in technology and industry trends.

- Led team members include front-end, back-end, firmware, UI/UX and product management.- Built-up product development process: Product Spec(User Story/Functional Map/Flow Chart/Wireframe/UI Flow/Mockup) => Infra/System Design => GitLab Flow => Code Review => Continuous Integration/Continuous Deployment => Quality Assurance/Quality Control.- Imported Scrum, issue tracker, product backlog to arrange tasks and manage human resources, increased productivity by 30%.- Promoted asynchronous communication, ensured information transparency, reduced 70% communication costs and 50% meeting time.- Based on the above policies, during COVID-19 department worked from home smoothly.- Imported AWS EKS(Elastic Kubernetes Service) to manage 100+ container services.- Imported GitOps with FluxCD, ensured infrastructure as code.- Developed flower grading system with YOLOv5, Detectron2, MobileNet machine learning models.- Developed back-end services with FastAPI and GraphQL.- Implemented website continuous deployment with AWS Cloudfront.- Maintained RDS-PostgreSQL database.- All projects containerized by Docker, CI/CD by GitHub Actions and GitLab CI.

- Responsible for KKBOX Open API promotion. Completed 10+ public sharing, contacted 2000+ people; had 80,000+ technical articles viewers and 11,000+ presentations readings; growth up 300%+ active developers in a year.- Succeed 10+ partners integrated with KKBOX Partner API.- Hosted KKBOX Open/Partner API documentation.- Planned/Designed technical workshops with programs and textbooks.- Developed KKBOX Open API JavaScript, Android Kotlin SDK.- Trained intern engineers include algorithm, data structure and OAuth 2.0 specification.

- Developed an ETL(Extract-Transform-Load) with Scala to process tens of millions of KKBOX Open API access logs every month, stored data in BigQuery and S3.- Built-up a data visualization dashboard with Google Data Studio and Metabase to research insights.- Developed KKBOX streaming daemon on Linux system with C. Developers could programmatically control the player through MQTT interface.- Continuous Integration/Continuous Deployment with Docker and GitLab CI.- Wrote OAS 3.0 documents, deployed mock server with prism for partners to test API beforehand.- Acted as a middleman communicate between API users and KKBOX back-end RD team. Organized user requests into technical specifications.

- Developed DMP(Data Management Platform) backend RESTful API to receive event logs and user behavior data of games on various platforms with Play Framework for Scala.- Developed a recommendation system by using ALS, SVD, K-means models from Spark MLlib.- Developed a Facebook advertising system integrated with Facebook Marketing API. The system can suggest audiences automatically, reducing advertising operations time by 50%.- Developed a Facebook advertising monitoring system with React, Material-UI and Semantic UI.- Implemented unit tests with ScalaTest.- Built code review culture through GitHub pull request feature.

- Developed website backend RESTful API with Play Framework for Scala.- Developed single-page applications with Node.js, React, Webpack, Babel and other front-end tools.- Reduced report export time by 50% by optimized SQL statement and program ORM logic.- Hosted websites on AWS and used S3 as file storage.- Implemented E2E test with Nightwatch.js.- Imported serverless with Parse service to quickly deliver event landing pages.- Maintain Linux server, set up Nginx, TLS certificate and firewall.