Yiping Chi

A multitenancy enterprise full-text search engine, mainly written in C++ and C#. It exposes RESTful API. It is like Lucene/Elasticsearch, but it provides better support for multi-property documents and partial document updates. It also supports non-text data types, aggregation, percolator, and cross-object relation search. It supports SaaS on cloud (AWS) with high availability, enhanced scalability, and cluster management using ZooKeeper. The core search engine is implemented in C++, and the cluster management is in C++, C#, Python, and PowerShell. I worked as a lead developer during most of the time. I focused on index file structure, cluster management design. I implemented about 50% of the project. I also focused on test design, and there was no critical issue in production in the last two years.

A search engine to aggregate search results from different applications, mainly written in C# and Angular. It includes built-in search providers for web pages (crawler), local files, ECM system, and SharePoint. It also exposes RESTful API to allow other applications to use it for search features. I developed the early version of the project, including web provider, ECM system provider, and search integration in a BBS application. I worked as a lead developer for most of the time, and I implemented about 50% of the project.

A cloud-native web application/service to provide insights into the data, mainly written in C# and React. It uses D3.js. It is like Kibana and Tableau. It supports charts in a web application, and it exposes RESTful API. I developed the early version of the project and I implemented about 30% of the project. I also changed front-end design to share front-end code between different projects and make it easy to test and to support WCAG.

A cloud-native web application/service to centralize audit events, mainly written in C# and React. The code was refactored from a legacy on-prem project. It uses RabbitMQ for message collecting. I focused on system design, and refactoring plan. I implemented about 30% of the project.