Experience

SHEIN Technology LLC

• United States
• Retail Apparel and Fashion
• 1 - 100 Employee

• Associate DevOps Engineer I

  • Jun 2023 - Present



Shoptaki

• United States
• Information Technology & Services
• 1 - 100 Employee

• mobile app Software Engineer

  • May 2022 - Aug 2022

  • Cooperate with a team of 12 software engineers to design an integrated personal information management solution using Java and Python. • Contributed to the development and optimization of core features, including a secure login system, user profile management, and data synchronization across devices, which led to a significant improvement in the application’s responsiveness and usability. • Cooperate with a team of 12 software engineers to design an integrated personal information management solution using Java and Python. • Contributed to the development and optimization of core features, including a secure login system, user profile management, and data synchronization across devices, which led to a significant improvement in the application’s responsiveness and usability.



Xuefuruijie information technology Co.

• Software Engineer

  • Apr 2021 - Jun 2021

  • Worked with a team of 7 software engineers to design and develop a full-stack project management and tracking system using C++ and RESTful API to improve workflows and enhance efficiency for a construction company. • Utilized Reason C++ library and SQLite to create a robust API-driven system that enabled project managers and clients to access and update projects, allocate resources and manage payment status seamlessly. • Wrote 500+ unit tests (using GoogleTest), achieving > 95% of code coverage. • Implemented continuous integration and continuous deployment (CI/CD, using Jenkins) to fully automate the software build, testing and deployment process, ensuring timely project milestones delivery. Show less



Jiangsu WebAce Intelligence Industry Innovation Center

• Nanjing, Jiangsu, China

• Intern

  • Apr 2020 - Aug 2020

  • Collaborated with a team of 5 software engineers to develop machine learning models for an energy efficiency improvement project for the city. • Designed and implemented feature learning algorithms (Scikit-Learn, Python) for thermal plant air pollution detection, achieving an accuracy of 95% in detecting fuel efficiency using sulfur dioxide, nitrogen oxide emission data. • Conducted reinforcement learning experiments to locate oil fields accurately, utilizing Q-learning and deep learning techniques (TensorFlow, Python), resulting in an average of 10% locating accuracy improvement. • Developed an object detection system using image recognition (OpenCV) and convolutional neural networks (CNN) to detect incidents and waste in surveillance footage, accomplishing a real-time monitoring and alerting for fast responding. Show less