•Engineered a content management system for PDDikti leveraging TypeScript and React.js, resulting in significant improvements tocontent update speed and elevating user engagement interactions by 25% within the first quarter.•Integrated an API for dynamic response handling from the back end, achieving a 30% acceleration in data retrieval speed.

• Created a voting system for FORMADIKSI PNJ using Laravel and Tailwind CSS, enhanced content update efficiency by 30% and elevated user engagement by 25%..• Collaborated with stakeholders to gather requirements, resulting in a 20% improvement in project alignment and overall satisfaction.

• Graduated with distinction (Top 10%) • Placed as a finalist team (Top 50 out of 639 projects) in the Capstone Projects.• Acquired TensorFlow Developer certification.• Developed a machine learning model for predicting fish prices in Indonesia.• Collaborated effectively in a team to develop a machine learning model for predicting fish freshness based on grade A (best grade) , B (good grade), C (rotten fish).

• Developed a system for Poltekkes Jakarta III where users can conveniently report issues related to facilities & infrastructure for Poltekkes Kemenkes Jakarta III (including IT) through an intuitive interface using TailwindCSS.• Users can attach photos or supporting documents to further clarify their issues and process it through form validation on the Laravel system.• Created an Authentication such as Login and Register and store the data into MySQL ensure secure user access.• Implemented a system that tracks the status of each complaint, from received, in progress, to resolved using Laravel Livewire.• Built a CRUD so the admin role can create, read, update, and delete / Admin Management.• Track code changes over time, and enable easy deployment to production servers using Git/Github and collaborate with teams.