AI & Data Engineer
Bridging data science, automation, and business value through production-ready AI systems.

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• Built a fraud detection system combining graph intelligence, GNN pipelines, and LLM-assisted reasoning.
• Reached 94.28% accuracy and 0.98 ROC-AUC on large-scale fraud data.
• Processed 25M+ rows and 194K+ graph nodes with real-time detection flow.

• Automated 15+ internal workflows for enterprise operations using LLM-based systems.
• Designed production-friendly pipelines for document understanding, extraction, and decision support.
• Focused on practical business value: lower manual effort, faster turnaround, and clearer auditability.

• Analyzed 3.6M+ Amazon reviews with sequence models and trend visualization.
• Contributed to a national 3rd place finish in a big data competition.

Data Analyst & LLM Automation

• Automated operational workflows with LLM systems across internal teams.
• Processed 2M+ records/month for reporting and strategic analysis.
• Deployed ML-driven solutions in production environments.

HPC Development Team & Data Science Instructor

• Helped build HPC infrastructure supporting 50+ research projects.
• Led workshops, technical bootcamps, and international training sessions.

ML Associate Core Team

• Trained 150+ students in machine learning fundamentals.
• Created structured learning modules and technical materials.

Machine Learning Engineer

• Delivered ML solutions for enterprise use cases.
• Supported systems serving 100K+ daily predictions.

• Grand Champion — Pesta Data Nasional 2024
• 3rd Place — Fesmaro 2025 Big Data
• Finalist — Hackfest0x09 CTF 2024

• Production-grade LLM automation for business workflows
• Graph neural networks for fraud and anomaly detection
• Data platforms and ML systems that are explainable, maintainable, and useful

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