I build systems that have to survive real production — cloud platforms, data pipelines, secure delivery, and increasingly AI systems that can be measured, governed, and operated after the demo.
My background is in cloud, platform, data, DevOps/SRE, and security-conscious delivery across Azure, AWS, and GCP. I use the projects below as hands-on proof-of-work around the production questions that show up after an AI feature starts working.
RAGAssure
Identity-aware contract testing and release assurance for RAG. The 0.1.0 alpha is available on PyPI and combines normal RAG quality checks with principal-aware required/forbidden evidence, latency/cost budgets, reports, and CI release gates.
Secure Enterprise AI Assistant
Reference application that makes authorization explicit before generation. The current public baseline uses employee/manager principals, allowed-only evidence and citations, and a live RAGAssure CI gate to prove the security boundary before the stack moves to semantic retrieval, a real model, identity, and stronger policy controls.
ha-rustdesk-server
Home Assistant App for self-hosting RustDesk ID/rendezvous and relay services, with multi-architecture container builds, checksum verification, security scanning, and a governed release path.
ApplyBench.com
AI-assisted career workflows grounded in a resume and actual job information. The useful engineering lessons have been around source trust, identity, credits and AI budgets, rate limits, durable results, recovery/refunds, retention, and turning model output into an actionable workflow.
MayaGuru.com
AI image workflows plus the Maya conversational assistant. It has been a practical lab for multi-app architecture, shared identity, usage controls, image-generation pipelines, streaming chat, conversation persistence, and AI/model cost controls.
I did limited distribution for these product labs, so I do not treat them as traction stories. Their value in this portfolio is the end-to-end engineering around the AI feature — not just the prompt or model call.
Azure · AWS · GCP · Terraform · Kubernetes · Docker · Python · TypeScript · Next.js · FastAPI · Snowflake · Kafka · OpenTelemetry · GitHub Actions
Azure AI Engineer · AWS Solutions Architect · GCP Cloud Engineer · CKA · Terraform Associate · CCSK