Company: A US based Enterprise IT management software company. (NASDAQ: NSFT)Role: Software Engineer ManagerTechnologies: Azure cloud native, Azure DevOps, .Net CoreResponsibility: We've built and released a new product ODRT(data recovery solution for Microsoft Teams) from ground up.Develop with Azure FaaS, Table/Blob/Queues, and other cloud-native servicesFollow scrum best practice from day 1, keep continous delivery in every sprint.Using AzureBoards for scrum backlogs and sprint managements.CI/CD using AzureDevops with Agile scrum methodology.Key Achievements:We built a MVP for tech preview in 6 months, and made production ready in another 6 months, which helped company to compete in emerging SaaS market.

Company: Largest E-Commerce platform in Southeast Asia. (NYSE: SEA)Role: Backend developer leader in supply chain department.Technologies: Python, django, celery, redis, MySQL, microservice architectureResponsibility: Develop Warehouse Manage System (https://wms.shopeemobile.com/)WMS is the core database for all inventory of Shopee, it takes charge of the inbound/outbound/rack transfer/return/cycle counting/shipping for all the SKU goods accross all warehouses.Challenge 1, Database concurrency was very high: when Shopee do sales promotion, the SKU inventory needs to be updated correctly while many shipping orders are submitting in a millisecond.Challenge 2, Data records explosion: Since amount of SKU and orders are increasing by 100 thousand every month, database table performance is decreasing rapidly.Design modular extensible architecture to rewrite old systemMake standard dev process, and do code reviewAlign with product owner to confirm the backlog priority.Lead dev team members to meet business requirement.Key Achievements:Optimized inventory data consistency in high concurrency sceneOptimized MySQL partition usage, and separate static data from dynamic data, to improve DB throughput and performance.We ensured WMS support all the sales promotion activities smoothly.

Company: One of largest online gaming and software company in China (HK:3888)Role: Senior Python specialist in Creative Lab of Game Tech Center.Technologies: Python, Django, Celery, TensorflowResponsibility: Built a lot of projects: IT automation, CMDB, Workflow, APM, etc.Follow AlphaGo's design to build smart fighting robot in online game.Used DQN/DDPG/A3C-LSTM algorithms, to implement Deep Reinforcement LearningKey Achievements:Built a novel simulation env to rapidly boost research iteration of algorithms. (https://github.com/suqi/gym-sandbox)Created a novel state representation of 3D-grid, to handle variance shapes of input, which can boost performance with CNN.

Company: Largest internet tech company in China. (HK: 700)Role: Senior Python Developer (T3-1 level) in Game Operations Dept.Technologies: Full stack development with Python, django, celery, redis, bootstrap, PostgreSQL, MongoDBResponsibility: - Lead design and implementation of the PaaS platform and AppEngine for rapid development of game operations apps.Blueking PaaS (https://bk.tencent.com/)- Build a auto service recovery solution for game operationsAutoHeal SaaS (http://bk.tencent.com/s-mart/application/110/data)Key Achievements:Blueking PaaS has pushed Tencent Game Operation department evolved from CommandLine to Web page automation era.AutoHeal SaaS was recognized as the first intelligent application to transfer from "manual process" to "unattended service" in Tencent Games operation. It has been saving 75 hours man power everyday.Personal performance: One time 5-stars and four times 4-stars, out of overall 5 times evaluation. (Max is 5 stars)Honor: Company-level Excellent Operations Project, Excellent Employee

Company: Global investment service company headquartered in US Chicago. (NASDAQ: MORN)Role: Software Engineer, Tech leader in GlobalFund performance data dept.Technologies: .Net C#, SQLServerResponsibility: Build fund performance ETL data processes using C#,SQLServerKey Achievements:Rewrite an excellent biz-rule system which increased fund data accuracy, and was promoted as team leader, and worked in U.S. headquarter for 3 months.