I specialize in designing and implementing complex, high-scale digital ecosystems. My core expertise lies at the intersection of Distributed Systems and Agentic AI.
- Backend & Ecosystems: .NET, Node.js, Python, Go (Distributed Systems & Polyglot Architectures)
- AI & LLM Orchestration: LangGraph (A2A), LangChain, OpenAI, Vector Databases, Prompt as a Service
- Cloud & Infrastructure: Azure, AWS, Messaging Solutions (Kafka, Service Bus), Data Engineering
- Real-time & Messaging: SignalR, Socket.io, WebSockets (High-concurrency Real-time Apps)
- Frontend Engineering: Blazor, React, TypeScript, Component-driven Design, Rapid Prototyping
- DevOps & Automation: Terraform (IaC), Docker, GitHub Actions, Azure DevOps
- Codebase Memory for AI Agents: A LangGraph Pipeline That Actually Stays Accurate (Aug 10, 2026)
- I Tried Microsoft Agent Framework’s New Declarative Workflows (1.0) (Aug 10, 2026)
- AI Agent Attack Surface: Lessons from a Week of Sandbox Escapes and Eval Breaches (Aug 9, 2026)
- The Verification Gap: Why “Done” Is Not a Fact About Your Codebase (Aug 9, 2026)
- From Prompt Engineering to Harness Engineering: How .NET Teams Should Build Around Claude Code (Aug 7, 2026)
- We Broke Webhooks Three Times Before Getting Durable Delivery Right (ASP.NET Core) (Aug 7, 2026)
- Node.js Streams in Production: The Parts Most Tutorials Skip (Aug 5, 2026)
- Three Articles, One Diagnosis: Your AI Agent Doesn’t Have a Model Problem, It Has a Coordination… (Aug 5, 2026)
- Agentic Architectures — Article 15: The Maturity Model Revisited (Aug 2, 2026)
- How Many Tools Should Your MCP Server Actually Have? (Aug 1, 2026)