Projects
A collection of ML, AI, and software engineering work.
Vacuum Cleaning Robots MDP
Developed a modular RL experimentation framework in Python enabling flexible algorithm implementation and custom scenario testing. Engineered environment setup, agent training, performance evaluation, and data visualization components. Results documented in a structured LaTeX technical report, with automated experiment logging for reproducibility.
View Source →IDX Multi-Asset Forecasting
Built a deep learning forecasting pipeline for Indonesian stock market data. Designed and implemented a custom RNN/LSTM architecture from scratch in PyTorch with a hand-written training loop, GPU support, and no pretrained weights. Conducted an ablation study removing LSTM components to evaluate individual contributions to model performance, with full hyperparameter tuning and experiment logging.
View on Kaggle →UFC Fight Analytics
Full ML pipeline on real-world UFC fight data covering preprocessing, exploratory analysis, and feature engineering. Benchmarked classification and regression models for fight outcome prediction. Applied unsupervised learning to uncover latent fighter patterns and handled class imbalance.
View on Kaggle →HealthMate
Comprehensive healthcare management web application with robust security features. Contributed to containerised deployment using Kubernetes, PostgreSQL integration with optimised queries, and advanced security measures for sensitive medical data.
View Repo (GitLab CS UI — Private) →EventSphere
Event management platform with Java Spring Boot backend and Next.js frontend. Designed and integrated RESTful APIs for event creation, management, and participation features.
View on GitHub →SIZOPI — Zoo Management System
Django-based backend with full CRUD operations and PostgreSQL schema design. Built efficient data models for tracking animal care, feeding schedules, and visitor information.
View on GitHub →Dinepasar
Responsive web/mobile platform for restaurant discovery in Bali, featuring menus, ratings, and user review integration. Designed to help tourists find suitable dining options across Bali's diverse culinary landscape.
View on GitHub →