// systems I build & run
My Work
Systems I've designed, built, and run. Some are my own infrastructure and R&D — the place where the ideas behind the work get proven, on real hardware, in production, behind this very domain.
Selected systems
lazarev.cloud — Self-Hosted Production Platform
My own infrastructure, and my proving ground: a 9-node Proxmox cluster with NVIDIA GPU and Ryzen AI NPU passthrough for local ML workloads, provisioned end to end as code with OpenTofu. Defense-in-depth with a Vault-issued internal PKI and SSO across every service, a fully self-hosted CI/CD supply chain (GitLab, Harbor, Nexus, Renovate), and Prometheus/Grafana observability with automated 3-2-1 backups. Reproducible, reviewable, and operated end to end by me.
Stack: Proxmox · OpenTofu · Vault · GitLab · Harbor · Nexus · CrowdSec · Prometheus/Grafana · Pocket ID
Local LLM Agent Memory Stack
A production-grade external memory system for LLM agents — vector storage and retrieval with reranking, persistent agent memory, and a fast cache layer. Built and benchmarked against current research, running entirely on local hardware.
Stack: Qdrant · Mem0 · Valkey · Qwen3 embeddings + reranker
Local AI Media Pipeline
A ComfyUI-based image/video generation pipeline tuned for AMD Ryzen AI hardware (ROCm), with a fully autonomous build/setup flow. Large generative models without a cloud bill.
Stack: ComfyUI · ROCm · AMD Ryzen AI MAX+ 395
Edge & IoT
ESP32 environmental monitoring with live dashboards, and a Raspberry Pi security camera with servo control wired into n8n automation. Small systems, fully owned.
Stack: ESP32 · Raspberry Pi · n8n