Full-Stack Engineer & Systems Architect
I build production systems at the intersection of AI, backend engineering, and infrastructure. My work spans RAG pipelines, async job queues, self-hosted Kubernetes clusters, and full-stack SaaS platforms — always with a focus on correctness, observability, and production-readiness.
Currently deep in building Bible Verse AI — a multi-domain platform that indexes 37,000+ Bible verses with semantic search, five AI models, and a fully async processing pipeline.
Systems designed to run in production, not just demos.
RAG pipelines, LLM orchestration, agent frameworks, hybrid model routing, and production inference infrastructure.
Scalable APIs, async job queues, domain-driven service layers, and typed data pipelines in Node.js and FastAPI.
Self-hosted Kubernetes on ARM64, CI/CD with GitHub Actions, MinIO object storage, and secure Cloudflare routing.
End-to-end product development — from data model and auth to UI, real-time features, and payments.
Projects and systems that defined my engineering approach.
Full-stack AI platform indexing 37K+ Bible verses across 5 bounded domains with RAG retrieval, 5 AI models, and BullMQ job queues.
Designed and deployed a private ARM64 Kubernetes cluster running production AI workloads, CI/CD pipelines, and object storage.
Built this site from scratch — video tutorials, blog, pro membership, AI search, and real-time features on a Nuxt 3 stack.
Shipped multiple client projects integrating LLMs, WebRTC video, Stripe billing, and complex auth flows into production systems.
Explore the projects, read the articles, or follow along with what I'm currently building.