Senior Engineer

Huawei Technologies Co., Ltd., Shenzhen, China                                                             Apr 2022- Sep 2023

• Partnered with clients to define and develop system requirements, ensuring maximum usability.
• Design stable, interoperable, secure, and scalable architecture with TOGAF architecture framework.
• Wrote key module code and managed the end-to-end development process by DevOps platform.
• Promptly investigated and fixed issues and ensured they do not resurface in the future.

Key achievements:

• Led the Data Management Service (DMS) project (parsed and managed JSON, XML, binary recipe data)
  1. Developed 350+ velocity templates and managed data exceeding 1T, improved system performance by 10x and helped attracting at least 5 external customers.
  2. Designed 50+ solutions, contributed over 10K/50K lines of Java code and 5K/10K lines of Python code.
  3. Grace deployment with 0-downtime in Kubernetes.

Senior Software Engineer

Contractor of Huawei Technologies, Shenzhen, China                                                        Jan 2018-Mar 2022

• Designed software solutions and implemented algorithms.
• Researched, designed, developed and tested applications and reviewed codes.
• Analyzed (Jprofier) and improved performance, such as high memory usage and high latency issues.
• Led an Agile team of 6-8 junior software engineers in supporting project development for Huawei Tech.

Key achievements:

• Co-led the Automatic Image Classification Service Platform (AICSP) project (An end-to-end image recognition model management platform)
  1. Reduced the time for building a new image classification service to two hours and significantly reduced data scientists’ workload unrelated to algorithms.
  2. Automatically trained, managed and deployed image recognition models.
• Co-led the Smart IO Layout Service project (A tool kit for Flip-Chip Redistribution Layer (RDL) design)
  1. Empowered EDA tool, including flexible pad layout, intelligent routing planning and customizable rule validation function.
  2. Supported 100+ chip design projects.
• Developed the Clever Eye service project (A multi-targets visual recognition service used YOLO algorithm)
  1. Recognized up to 50-targets and 5-categories at once with 95% accuracy rate.
  2. Supported 2 printed circuit board (PCB) factories.