Building digital products that solve real problems. From full-stack systems to intelligent experiences.
I'm a software engineering student based in Indonesia who enjoys turning real-world problems into practical digital products, from full-stack platforms to intelligent systems.
Engineering at the intersection of product and system.
I work across frontend, backend, and intelligent systems, with a focus on turning ideas into reliable software. I enjoy understanding how the pieces fit together, from user experience and system architecture to deployment.
Current Status
CURRENTLY
Software Engineering Student
Bina Nusantara (BINUS) University
BUILT
8+
Projects Built
What I Build
01↗
FULLSTACK
Web platforms, APIs, databases, authentication, and deployment.
ReactTypeScriptFastAPIGoPostgreSQLDocker
02↗
INTELLIGENT SYSTEMS
Applied machine learning for practical, real-world problems.
Computer VisionNLPTensorFlowScikit-learnFastAPI
03↗
PRODUCT INTERFACES
Interfaces that turn complex systems into clear and usable experiences.
UI/UXFigmaDesign SystemsPrototypingFrontend
Education
University
Bina Nusantara (BINUS) University
Bachelor of Computer Science, Software Engineering
Jul 2024 – PresentActive
Coursework
Data Structures and AlgorithmsObject-Oriented ProgrammingDatabase SystemsSoftware EngineeringMachine LearningComputer Vision
/SKILLS
Skills
Technology Stack.
The stack I use to build, integrate, and ship real-world systems.
PostgreSQL
NestJS
React
Go
GitHub
Figma
Python
FastAPI
Docker
TensorFlow
Scikit-Learn
Java
Spring Boot
MySQL
Postman
Tailwind
OpenCV
Flask
Vite
JavaScript
Python
FastAPI
Docker
TensorFlow
Scikit-Learn
Java
Spring Boot
MySQL
Postman
Tailwind
OpenCV
Flask
Vite
JavaScript
Selected Work
Projects built around real problems.
Product decisions, engineering execution, and design craft across client work, academic research, and independent builds.
01Web ApplicationFeatured
2026Client Project · Deployed
BurnCup 2026
Full-stack competition platform for a multi-category university event covering Sport, E-Sport, and Creative categories with 15+ sub-competitions.
Role
Fullstack Developer
Client
BurnCup, BINUS University Bekasi
Outcome
A deployed production platform powering the BurnCup 2026 registration experience at burncup.com.
Core Problem
The event needed a centralized digital platform for browsing competitions, registering teams, tracking participant status, and managing registrations. The existing process was manual and fragmented.
Solution
Built a responsive frontend integrated with a REST API backend, covering competition discovery, team registration flows, participant dashboards, and admin registration management. Deployed to production.
Marketing landing page for iadmin Notary, a digital office administration product for notary offices in Indonesia.
Role
Frontend Developer
Client
iadmin Notary
Core Problem
The product lacked a public-facing landing page to communicate its value proposition to prospective notary offices before they reached the login screen.
Solution
Designed and built a multi-section landing page covering hero, features, how it works, pricing, testimonials, FAQ, and CTA. Built with dual-language support and smooth animations.
Outcome
A live preview landing page currently in active development, awaiting final client review before full deployment.
Real-time classroom attendance system using face recognition with role-based access for admin, lecturers, and students.
Role
Fullstack Developer
Core Problem
Manual attendance tracking in classrooms is time-consuming, error-prone, and difficult to audit at scale across multiple courses and sessions.
Solution
Built a fullstack web application using InsightFace ArcFace embeddings for face recognition, smile-trigger capture for liveness, a FastAPI backend with PostgreSQL, JWT auth, and a React frontend with live analytics dashboard.
Outcome
A fully functional academic project demonstrating end-to-end computer vision integration in a real classroom attendance context.
AI-powered tuberculosis screening from chest X-rays using EfficientNetB0 transfer learning with a full-stack web interface.
Role
Project Contributor, Proposal and Development
Core Problem
Tuberculosis screening from chest X-rays requires expert radiologist review, which is slow and resource-intensive in under-resourced settings.
Solution
Trained an EfficientNetB0 transfer learning model on chest X-ray data with threshold tuning for high sensitivity, served via FastAPI with a React frontend and Docker Compose orchestration.
Outcome
Achieved approximately 98.4% validation accuracy. Delivered a complete academic project demonstrating applied deep learning in a medical screening context.
End-to-end misinformation detection pipeline with containerized serving for reproducible single-command deployment.
Role
Fullstack Developer
Core Problem
ML models for fake news detection are often trained as one-off scripts without a reproducible, deployable pipeline, making them difficult to serve or iterate on.
Solution
Built an end-to-end MLOps pipeline using TF-IDF + Logistic Regression trained on the ISOT dataset, served via Flask + Gunicorn, containerized with Docker for reproducible deployment.
Outcome
Achieved approximately 98.5% test accuracy. Delivered a containerized, production-ready serving pipeline as a complete academic project.
High-fidelity interactive prototype for a carbon tracking and sustainability experience application.
Role
UI/UX Designer
Core Problem
Users who want to track and reduce their carbon footprint lack tools that make the experience approachable, actionable, and visually engaging.
Solution
Designed a complete UI/UX for a carbon tracking app covering the primary user flow, design system, interaction patterns, and high-fidelity prototype in Figma.
Outcome
Produced a high-fidelity clickable prototype covering the primary user flow and a cohesive design system.
