Education
Bachelor degree in Software Engineering from Xiamen University
2014.8 - 2018.7
Work Experience
Company: Microsoft
Title: Software Enginner 2
2022.9 - Now
Company: Microsoft
Title: Software Enginner
2021.2 - 2022.8
Duty: UX owner of Money Card UX in Windows10 Flyout, which is shown to 400 Millions users
Growth: The Navigation Clicked User grew 4X, from 80K -> 320K, still improving
Personal Career: 140% Performance in 2022 Annual Review, Got Promotion and +30% salary increase
Company: eBay China Center of Excellence
Title: Software Enginner
2020.5 - 2021.1
Duty: UX owner of eBay Performance Marketing Portal, the dashboard to query user data of Ads Conversion Ratio
Personal Career: Good reviews from Manager and Mentor, Got extra 30% month salary as bonus
Company: Shanghai Zongyi Automation Control equipment Co., Ltd
2018.11 - 2020.4
Duty: Development Team Leader of 5 members, research on image algorithm and serve it by python back-end Flask
Personal Career: Got 20% salary increase after 7 months on the job
Projects
Project Name: Microsoft Windows10 Flyout Money Card
Contributions: 1. I mainly worked in front-end development by using TypeScript, React, Redux.
2. I delivered the card UX to the product with 400 Million users, and also bring 4X user gain to Money vertical page.
3. I am familiar with how to reduce component js bunlde size, which is important for user's first-screen feeling.
4. I am familiar with the data analysis work related to the A/B testing of User Growth, built last 2 months User Trend dashboard for our team.
Project Name: eBay Marketing Audience Platform
Contributions: 1. I was a full-stack engineer, used TypeScript and React in front-end work, and used Java and Spring in back-end work.
2. I used Redux as components state management tool, made code clean and easy to maintain.
3. I independently built a CI/CD environment based on Jenkins service, which made front-end can be hot-updated.
4. I used Docker as Container tool, to make the services easy to migrate and maintain.
5. I used JMeter to implement API integration testing
Project Name: Automatic Get-wine Project based on Image Recognition and Cooperative Manipulator
Contributions: 1. I was a technology leader of the project, assembled 5 members as a team to push project progress.
2. I used Pytorch to implement object detection model, which is 100+ FPS and 99+% f1-score.
Others
1. Workable: Linux, Git, SSH, Log and Monitoring
2. Familiar with: Web Crawler(Scrapy), Data Analysis(Numpy, Pandas), Data Visualization(Matplotlib)
3. Github link: github.com/xkunlei/AI_projects (450 starts project)