Jakarta, Indonesia · Open to Remote
I secure AI systems before they break.
AI security engineer shipping fraud detection systems from code to live infrastructure. Current production stack: 5 synced repos and 7 Cloud Run services across API and UI workloads.
EXPERTISE
Security-focused AI engineering, from modeling workflows to live deployment.
Current Launch Stack
I build and ship end-to-end fraud AI systems with clear API/UI boundaries, production health checks, and reproducible deployment workflows.
Research + Production
My current portfolio combines RAG investigation, healthcare fraud scoring, multi-agent monitoring, and LLM fine-tuning into one synchronized launch pipeline.
PROVEN RESULTS
Current live fraud AI systems with synchronized GitHub and Cloud Run deployments.
Retrieval-augmented fraud investigation workflow with FastAPI + Streamlit, Qdrant vector search, reranking, and source-grounded answers.
Cloud Run-ready healthcare fraud inference stack with FastAPI endpoints, operational metrics, and Streamlit analyst demo workflow.
LangGraph orchestration pipeline with 4 specialized agents for transaction analysis, pattern detection, risk scoring, and SAR-ready report generation.
QLoRA fine-tuning and inference workflow for 3-class fraud narrative classification, deployed with a public interactive demo.
CONTACT
Building FL defenses? Scaling fraud detection? Seeking a research collaborator or MPhil candidate? Let's talk. Based in Jakarta, open to remote and research positions.