Crafting elegant, functional, and user-centric web experiences
with a focus on clean code.
Discover
About Me
I am a Junior Frontend Developer and Machine Learning Enthusiast
based in Indonesia.
I have a strong passion for building elegant, functional, and
user-centric web experiences. I prioritize writing clean,
maintainable code and always strive to stay ahead of the curve by
exploring the latest technologies in web development and data
science.
Currently pursuing a bachelor's degree. Consistently maintaining
strong academic performance with a GPA of
3.72 / 4.00.
Experience
Web Developer Intern
Mar 2025 - Jun 2025
Dinas Komunikasi dan Informatika (Diskominfo)
Designed and built the "Aspirasi Masyarakat" web application
end-to-end (Fullstack) to facilitate citizen reporting.
Developed a responsive frontend interface and robust backend
data management system.
Executed independent feature testing to ensure flawless data
input flow and user experience.
Operations & Sales Admin
Aug 2022 - Feb 2024
@genshintagram.id
Managed and logged daily customer order data into structured
formats to ensure timely service delivery.
Secured the accuracy of transaction data and service schedules
to reliably minimize operational errors.
Routinely archived order data securely to facilitate precise
tracking of transaction history.
Organization
Design Staff
Aug 2023 - Jan 2024
UKM Catur Udinus
Led the creation of visual assets and promotional materials to
support operational structure and events within the campus chess
organization.
My Technical Toolkit
⚡ Frontend
HTML5
CSS3
JavaScript
Bootstrap
React.js
React Native
Expo
⚙️ Backend & Database
Node.js
Express.js
Supabase
PostgreSQL
🤖 Data & AI
Python
Scikit-Learn
LLM / AI API
Projects
Explore my featured projects
Plamongan Sari Village Public Aspiration System
A PHP and Bootstrap-based web platform to digitize and
streamline public feedback for local village administration.
Churn Prediction using Logistic Regression
A predictive model using Logistic Regression to analyze and
identify customer retention risks.
Mental Health Detection using SVM
Undergraduate thesis project using SVM and SMOTE to classify
student mental health status from imbalanced data.
Sentiment Analysis of IKN Discussions Using Naive Bayes
Sentiment classification of Twitter data regarding Indonesia's
New Capital (IKN) using the Naive Bayes algorithm.
To Do List Website
A web-based to-do list application with Google authentication,
daily-reset checklists, and a weekly habit tracker.
SpendScan — AI-Powered Expense Tracker
A mobile expense tracker built with React Native & Expo. Scan
receipts with your camera — AI (Groq Vision) automatically
reads items & prices. Features dashboard, transaction history,
financial reports, and secure authentication.
Contact Me
Feel free to reach out for collaborations or just a friendly hello!