I'm a Cloud & Infrastructure Architect, focused on designing and leading secure, scalable, and enterprise-grade platforms across hybrid and multi-cloud environments.

With over a decade of experience in mission-critical systems, I work at the intersection of cloud strategy, platform engineering, automation, and agentic AI, helping organizations evolve toward cloud-native and AI-enabled operating models with a strong security- and privacy-first approach.

I specialize in:

• 🏗 Cloud Platforms & IaC: Terraform, Bicep, Kubernetes, OpenShift, ArgoCD
• 🔒 Security by Design: Policy-as-Code (OPA / Conftest), SBOM, secrets management
• 🤖 Agentic AI & Automation: AI agents, intelligent workflows, ChatOps, automation-driven operations
• ☁️ Hybrid & Multi-Cloud Architecture: Azure, AWS, landing zones, governance, enterprise-scale foundations

I help organizations modernize large-scale and mission-critical environments, guiding end-to-end transformation journeys that combine cloud-native platforms, automation, and agentic AI systems.

My focus is on translating architectural complexity into resilient, secure, and future-ready operating models that align technology decisions with long-term business outcomes.

These repositories represent the core of my work and personal R&D.

• chat-ui
  Modern SPA webchat built with React / Next.js, enabling secure real-time communication via API, WebSocket, and SSE. Designed for enterprise-scale, supporting AI-driven conversations and bot orchestration with responsive UX.

• chat-backend
  Conversation-centric API built with NestJS. Exposes REST v1/conversations with nested messages (CRUD & streaming). Supports WebSocket/SSE, OAuth2/JWT, idempotent creates, pagination, and full OpenAPI docs. Features modular persistence (ephemeral, local, remote).

• ai-orchestrator-agent
  LangGraph-based orchestrator for multi-agent / agentic AI workflows. Routes requests via A2A protocol, integrates LLMs, RAG, and external tools, leveraging a dedicated RAG service. Built for interoperability, security, and extensibility.

• ai-specialist-agent
  Domain-specific agentic AI for secure, context-aware automation. Integrates with LLMs, dynamically assigns tools, and executes specialized actions via the MCP protocol.

• mcp-tools-library
  Modular library of MCP tools enabling advanced actions such as SSH, database operations, and API integrations for enterprise AI workflows. Designed for seamless integration with orchestrator and specialist agents.

• container-toolkit
  Secure, multi-platform troubleshooting container based on Red Hat UBI. Includes essential tools for Docker, Podman, Kubernetes, OpenShift, and Rancher. Runs rootless and supports Helm-based deployments.

• storage-sync-engine
  High-performance, multithreaded engine for continuous storage synchronization during cloud migrations. Supports initial sync, live change tracking, multiple paths, and secure bastion execution.

• excel-to-terraform
  Accelerates cloud migrations by converting human-readable Excel sheets into Terraform manifests, enabling fast and error-free deployments. Currently supports Azure, with plans for multi-cloud expansion.

• Privacy-first and Security-by-Design across platforms and data flows
• Automation over manual operations using IaC, pipelines, and policy enforcement
• Observability & reliability through metrics, tracing, and actionable SLOs

• LinkedIn
• GitHub
• X / Twitter
• Patreon

🌐 Website: (coming soon)

If you find my work valuable, consider supporting it:

• GitHub Sponsors
• Patreon

• All commits are GPG-signed (Verified)
• This profile README lives in lorenzobiosa/lorenzobiosa

Always open to collaborations and technical discussions around cloud architecture, DevOps, and agentic AI systems.
If you're building secure, scalable, and intelligent platforms, feel free to reach out.