As a Fullstack Web Developer, I bridge the gap between intuitive user interfaces and robust server-side solutions. On the front-end, I craft responsive and dynamic experiences using technologies like HTML, CSS, Bootstrap, React.js, Next.js, TailwindCSS, and Vite. On the back-end, I develop powerful and scalable applications using frameworks such as Laravel and CodeIgniter. With a comprehensive skill set that spans both client-side and server-side development, I deliver full-cycle web solutions that are efficient, modern, and impactful.

EXPERIENCE

• Esports Indonesia Kota Bandung

  (Management Member) 2020 - 2021

  Esports Indonesia is the governing organization for electronic sports under the Indonesian National Sports Committee. Esports Indonesia Kota Bandung serves as a branch management under PBESI. I have approximately five months of experience, from August 2020 to January 2021, as a management member.

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  Dinas Budaya dan Pariwisata Kota Bandung

  2022 - 2023 (Internship)

  As a Junior Programmer Intern, I conducted requirement research and provided recommendations for the TIC website development. I participated in creating promotional content, designed the website using tools like Balsamiq and Figma, and implemented the design using the Laravel framework with PHP, JavaScript, MySQL, and Bootstrap.

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  Sistem Multimedia

  (College Project) Oct 2020 - Jan 2021

  I conducted research for developing an interactive cultural introduction system for children, designed the system using tools like Balsamiq and Figma, and implemented it using Adobe Animate.

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  Scrum Master

  Feb 2021 - Jun 2021 (College Project)

  I conducted research for the Queniee Pethouse Treatments system, designed the system using Balsamiq and Figma, also managed business processes with JIRA. This involved creating sprint planning, product backlogs, tasks, and schedules for developers, as well as implementing all business needs and processes using JIRA.

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  Penerapan Algoritma K-Nearest Neighbor (KNN) Dengan Fitur Relief-F Dalam Penentuan Status Stunting

  2023 (Journal and Thesis)

  In this thesis, I developed machine learning and classification for stunting in toddlers. Based on the research method, we can classify and identify important data for determining the stunting status of toddlers using the KNN algorithm with the Relief-F feature.