Bridging the gap between robust web infrastructures and advanced machine learning architectures.
- 🎓 Academic Background: Final-year Computer Science student specializing in Data Science and AI/ML Engineering (Current GPA: 3.85/4.00).
- 🔬 Current Research: Developing a final-year thesis utilizing Deep Learning and an Autoencoder architecture to engineer a highly accurate tourism destination recommender system.
- 🛠️ Data Engineering: Designing and publishing synthetic datasets for advanced simulation and modeling purposes on Kaggle.
- 🌱 Continuous Growth: Actively expanding expertise in Mathematics for Data Science and scalable backend integrations.
💼 Work & Internships
- Web Development Specialist @ PT. BPR Sentral Mandiri (BSM)
(Mar 2026 - Present)- Architecting the redevelopment of the core banking website infrastructure and managing seamless integrations with partner platforms (Aureka & Popcorn).
- Data Scientist Intern @ IDCamp Indosat Ooredoo Hutchison
(Sep 2025 - Present)- Executed end-to-end predictive modeling solutions and completed the Expert-level Data Scientist learning path.
- ICT Division Intern @ Polres Metro Bekasi Kota
(Feb 2025 - Mar 2025)- Supported internal digital infrastructure and operational technology frameworks.
🧪 Featured ML/AI Projects
- Nusa Bali Tourism Recommender: Capstone project for the DBS Foundation utilizing advanced NLP and Deep Learning to optimize travel routing and recommendations.
- Computer Vision Frameworks: Engineered and deployed InfernoGuard and SafeGuard Vision for real-time visual detection and monitoring.
- Spotify Intelligent Recommender: A robust collaborative and content-based filtering system analyzing complex user preferences.
