

I'm a fresh Computer Science graduate passionate about coding, data, and solving real-world problems with machine learning and statistics. Over the past few years, I’ve built hands-on experience through global research programs, AI-driven projects, and academic collaborations across Japan and South Korea. In Japan, I conducted research at Kyushu Institute of Technology, where I developed a hybrid deep learning and machine learning framework for glaucoma detection using retinal fundus images — work that led to a publication and international conference presentation. While in South Korea, I deepened my understanding of biomedical statistics, AI for physicists, and entrepreneurship through the IISMA exchange program at Korea University.
Univervitas Muslim Indonesia
December 2023 - May 2025
Kyushu Institute of Technology
April 2024 - July 2024
Korea University , December 2025
Interdisciplinary Studies
Universitas Muslim Indonesia, January 2025
Computer Science
Explores stock market data for major tech companies (Apple, Amazon, Google, and Microsoft) through two approaches: Exploratory Data Analysis and Stock Price Prediction with LSTM (Notebook), Interactive Stock Forecasting Dashboard with Prophet (Web App)
View Project3/1/2025 -4/1/2025
LangChain RAG Chatbot is a local question-answering with simple Retrieval-Augmented Generation (RAG) chatbot that uses LangChain, Chroma, and Hugging Face models to answer questions based on custom Markdown documents.
View Project4/1/2025 -4/30/2025
This project focuses on enhancing marketing strategies and increasing sales by analyzing customer purchasing behavior. Using a real-world dataset from a UK-based online retailer, we segmented customers into distinct groups using K-Means clustering and built a recommendation system that suggests top-selling products within each segment.
View Project2/1/2025 -2/28/2025
Verified Machine Learning Engineer
0-2 years of experience
Preferred commitment: Full Time
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