Professional experience since 2018

Kun Lei · Microsoft Software Engineer · Resume

Education

Bachelor’s degree in Software Engineering, Xiamen University
2013.09 – 2018.07

Work Experience

Microsoft
Software Engineer 2
2022.09 – Present
Microsoft
Software Engineer
2021.02 – 2022.08
  • Owned the Money Card user experience in the Windows 10 Flyout, a product reaching 400 million users.
  • Grew navigation users 4×, from 80K to 320K.
  • Received a 140% performance rating in the 2022 annual review, a promotion, and a 30% salary increase.
  • Recent work covers LLM evaluation, agent tooling, enterprise data connectors, and reusable management experiences.
eBay China Center of Excellence
Software Engineer
2020.05 – 2021.01
  • Owned the eBay Performance Marketing Portal UX for querying advertising conversion data.
  • Worked across React/TypeScript frontend and Java/Spring backend development.
  • Received positive manager and mentor reviews and an extra bonus equivalent to 30% of a monthly salary.
Shanghai Zongyi Automation Control Equipment Co., Ltd.
Development Team Leader
2018.11 – 2020.04
  • Led a five-person team researching image algorithms and serving models through Python/Flask APIs.
  • Received a 20% salary increase after seven months on the job.

Projects

Microsoft Windows 10 Flyout Money Card

  • Built the frontend with TypeScript, React, and Redux; delivered the card UX in a product reaching 400 million users and achieved 4× navigation user growth.
  • Reduced JavaScript bundle size to improve the first-screen experience.
  • Analyzed user-growth A/B tests and built a dashboard covering the previous two months of user trends.

eBay Marketing Audience Platform

  • Developed React/TypeScript frontend and Java/Spring backend features, using Redux for maintainable state management.
  • Independently built Jenkins CI/CD for frontend updates and used Docker to simplify service migration and maintenance.
  • Implemented API integration testing with JMeter.

Vision-guided Wine Retrieval with a Collaborative Robot

  • Assembled and led a five-person team to deliver the project.
  • Implemented a PyTorch object-detection model achieving 100+ FPS and an F1 score above 99%.

Skills & Public Work

Linux, Git, SSH, logging, and monitoring.

Web crawling (Scrapy), data analysis (NumPy/Pandas), and data visualization (Matplotlib).

GitHub: https://github.com/leikunx