Computer Science & Mathematics student building intelligent, data‑driven digital experiences.
A MULTIDISCIPLINARY PRACTICE
02 / SELECTED WORK
A curated selection of software, machine learning, data, systems, and product work.
IoT-based goat sound analysis system for stress and reproductive activity detection.
Contributed to requirements understanding, system workflows, and web application development.
Fine-tuned IndoBERT for Indonesian football and sports news classification across 2,276 articles and five classes.
Query-Based Multi-Document News Summarization with Keyword-Guided Abstractive Summarization.
Real-time air quality prediction system built around streaming data, processing, monitoring, and ML integration.
Multi-objective humanitarian vehicle routing under flood disaster conditions with dynamic constraints.
AI assistive web application for visually impaired users with object detection, text recognition, text-to-speech, and location tracking.
A computer vision and generative deep learning study modeling fresh vs. rotten fruit degradation through Variational Autoencoders (VAEs) with β-warmup scheduling, latent space distribution analysis, and Fréchet Inception Distance (FID) evaluation.
An image classification project using EfficientNet-B0 transfer learning to classify five nail conditions from digital images, with a focus on class imbalance, augmentation, and rigorous model evaluation.
An end-to-end machine learning regression pipeline predicting used car selling prices using an Artificial Neural Network, comprehensive feature engineering, and leakage-free encoding.
A smart agriculture IoT system that monitors environmental conditions and automatically controls irrigation and a protective roof through ESP32 and Firebase.
Calming mental health mobile application designed to make self-assessment, mood tracking, and professional consultation accessible, private, and stigma-free.
Designed and developed a responsive multi-page website for JCI, a fictional drone brand focused on product discovery, community engagement, retail access, and customer support.
03 / WHAT I BUILD
The strongest projects often sit between disciplines. Explore the intersections.
AREAS I EXPLORE
04 / ABOUT
I'm a Computer Science and Mathematics student at Bina Nusantara University interested in building technology across software engineering, artificial intelligence, data, cloud systems, and digital products.
I enjoy moving between different layers of a project — from understanding the problem and designing the system to building applications, experimenting with machine learning models, analyzing data, and turning ideas into usable products.
06 / EXPERIENCE
Engineering roles, academic mentorship, system analysis, and institutional initiatives.
Contributed to requirements understanding, system workflows, and web application development for the platform.
Designed system architecture and data pipelines for an IoT-based goat sound analysis system detecting stress and reproductive activity.
Mentoring students from different majors and supporting sustained academic progress.
Assisted students with Python programming and scientific computing problem solving.
Led publication and documentation activities, coordinating visual identity and event media coverage.
Designed event communication materials and visual presentation assets.
07 / TECHNOLOGIES & TOOLS
ALL TECH — 12 TECHNOLOGIES
08 / CERTIFICATES
SkillFront
Associate certification covering information security principles and ISO/IEC 27001 foundations.
VERIFY CREDENTIALNVIDIA
Certificate of competency for completing NVIDIA Fundamentals of Deep Learning.
VERIFY CREDENTIALCognitive Class
Certificate for completing the Data Analysis with Python course provided through IBM Skills Network.
VERIFY CREDENTIALRECOGNITION
MBELYS — IoT-Based Goat Sound Analysis System
ITFIESTA — School-themed website
Medalyst
09 / CONTACT