Willy Hanafi

AI Automation & ML Engineer with 3+ years of production experience bridging the gap between advanced cognitive models and enterprise operations. Specialized in architecting Generative AI systems, deploying RAG pipelines, and building end-to-end Machine Learning solutions. Proven track record of reducing administrative workloads by 93% and bank reconciliation time by 91% through scalable AI-driven automation.

Software Developer at UPTD Rusunawa, Pemerintah Kota Cimahi (2023-08 – Present)

• Engineered a full-stack tenant management system serving 800+ housing units across 3 government housing complexes, replacing entirely manual administrative processes with a secure, role-based web application.
• Automated billing enforcement — built penalty calculation and sequential warning letter generation (SP 1/2/3) per government regulation, reducing admin workload by ~93% (from 2 days to under 1 hour).
• Integrated Midtrans payment gateway with webhook-based auto-reconciliation, enabling tenants to pay rent online via Virtual Account, E-Wallet, and Credit Card — processing 800+ monthly invoices automatically.
• Architected an automated bank reconciliation pipeline using n8n and Gemini 2.5 Pro to intelligently extract transaction records from unstructured PDF bank statements, matching tenant payment codes — cutting daily reconciliation time by ~91% (from ~2 hours to ~10 minutes).
• Deployed production CI/CD pipeline — Docker multi-stage builds, automated database backup, and zero-downtime deployment to DigitalOcean via GitHub Actions.

S1 in Teknik Informatika – Universitas Jenderal Achmad Yani (UNJANI) (2018 – 2023)