silki

As a Backend Developer for the Dashboard Profiling MIT project at PT Merkle Inovasi Teknologi (MIT), I was responsible for developing scalable backend services using Node.js and Express with TypeScript. I designed and implemented RESTful APIs to support features such as multi-role user authentication, profile and resume management, job listings and applications, and institutional data verification. The system was built on MongoDB with well-structured schemas and relations using Mongoose.

IOS attendance application used by employees at a hospital in Bali. The features in this application include: Login, Logout, displaying whereabouts, facial recognition and location distance. In this application I use machine learning from Google, namely ML KIT, and this application has been released on the AppStore.

An application built with Flutter and Firebase, designed to efficiently manage the academic system of a football school. This application enables the management of student data, trainers, training schedules, performance evaluations, and academic administration within a single integrated digital ecosystem. This app has been officially published on the Google Play Store and is currently used in a real operational environment.