Rooster is a sophisticated extension application designed to enhance the scheduling capabilities of workday HCM, while also seamlessly integrating with multiple other HCM platforms available in the market. Noteworthy features of Rooster include its auto-booking functionality, comprehensive notifications, and seamless automation. As part of my involvement in the project, I successfully proposed and executed the implementation of an innovative automation feature, enabling the automated execution of crucial actions such as the sending of calendar invitations, cancellations, and rescheduling.

AI-Sentinel is a refined web dashboard that leverages the power of AI to effectively administer smart surveillance security systems. The application, meticulously crafted with React and Node.js, proficiently oversees the in-house developed machine learning process implemented in C++, and seamlessly displays corresponding outcomes. Empowering users with advanced configuration capabilities for cameras, integration with existing DVRs, and flexible security rule settings, I assumed responsibility for formulating and implementing the comprehensive front-end and back-end architecture. Additionally, my role encompassed the invaluable mentorship of junior developers, alongside efficient delegation of tasks. Concurrently, I contributed my expertise to the machine learning domain, particularly focusing on pivotal algorithms like object detection and segmentation.

Lumos is a meticulously crafted cross-platform desktop application, purposed as a passion project, leveraging the robust combination of Electron and React. Empowered by advanced facial recognition capabilities, Lumos empowers users by enabling seamless search for faces within local photos, effortlessly retrieving all images housing the queried faces.

Annoy-Node serves as a TypeScript typed binding for the Annoy index (https://github.com/spotify/annoy) library. While offering native support for Python, the Annoy library lacks out-of-the-box compatibility with JavaScript. The currently available binding library (https://www.npmjs.com/package/annoy) is deficient in TypeScript support and fails to incorporate the latest features. This prompted our team to develop an improved JavaScript and TypeScript support using N-API.