RAG pipelines, multi-agent automation, and SaaS platforms — architected, coded, deployed, and monitored. End-to-end, no handoffs.
Most AI projects die between demo and production. I close that gap — database schema, backend API, dashboard UI, authentication, CI/CD, monitoring, and security hardening, all in one engagement.
I specialize in production RAG systems, multi-agent workflow automation, and SaaS multi-tenancy. Everything runs on self-hosted ARM64 infrastructure.
Production RAG — Document Q&A pipelines at scale. Self-hosted embedding, sub-300ms on 9K+ docs.
Multi-Agent Orchestration — Complex tasks into parallel sub-agents. Beads task graph, real-time dashboard.
Multi-Tenant SaaS — isolated data per tenant, multi-level RBAC, QRIS payment gateway, zero-downtime deployment.
ARM64 server — Docker orchestration, Nginx Proxy, CI/CD pipeline, monitoring, 14 CVEs patched without downtime.
Full-stack masjid management — member database, donation tracking (QRIS), event scheduling, and digital cashbook. Self-hosted on ARM64.
HR system for Institut Teknologi Bandung — employee master data, leave management, attendance, payroll integration, and approval workflows.
WhatsApp API gateway from terminal — send/receive messages, manage multi-session, webhooks, contact sync. Open source, CLI-first, Docker deploy.
Single endpoint routing to 10+ AI providers. Auto-fallback, cost logging per-request, latency tracking, Turnstile auth. White-label for enterprise.