Hi, I'm
A passionate professional with a strong interest in turning data into meaningful insights and building impactful, scalable software solutions.
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Public Repos
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Contributions (recent)

Behind the Code

Hello! I'm William,
A developer based in Indonesia with a deep passion for both the analytical world of Data Science and the creative challenges of Software Engineering. My journey in tech is driven by the thrill of transforming complex data into understandable stories and building applications that are both functional and delightful to use.
Outside of coding, I enjoy exploring new technologies and collaborating with others to bring innovative ideas to life.
My Core Skills

My Experiences

Activist and Staff
Bina Nusantara Computer Club
Dec 2023 - Aug 2025
Bandung, Indonesia

Software Engineering Academy Participant
COMPFEST: Software Engineering Academy
Aug 2024 - Sep 2024
Depok, Indonesia

Part-time Laboratory Assistant
BINUS University
Feb 2024 - Jan 2025
Bandung, Indonesia
My Projects

Urban Water Quality Monitoring with Multimodal AI
Develops an urban water pollution risk classification system by fusing multimodal data from citizen reports. By combining textual and visual data with geospatial and temporal feature.

Mood Bridge
Mood Bridge serves as an inclusive digital sanctuary to support the mental well-beings of individuals with mental-disabilities. This project was initiated to address the critical gap where technology often fails to serve the specific needs of this community, providing a safe space to counter social stigma and manage mental health challenges.

VoxA
VoxA is an AI-powered mobile app designed to help students and professionals overcome information overload from lectures and meetings. The name itself comes from 'Vox,' the Latin word for voice, and 'A' for AI, reflecting its core function. The idea was born from a simple observation of watching friends struggle to take notes and pay attention simultaneously in class, ensuring no crucial knowledge is ever lost again.

Predicting e-IPO Stock Performance using Tabular Transformers
Developed predictive models using Tabular Transformers, such as TabPFN and TabNet, to analyze and forecast the performance of e-IPO stocks in Indonesia , aiming to provide a data-driven tool for investment decision-making.
Get In Touch
My inbox is always open. Whether you have a question or just want to say hi, I’ll get back to you!