In 2026, strong software delivery is use-case driven: choose the stack that fits the problem, then deliver it reliably. My background spans Pascal, Assembly, C/C++, Java, .NET, PHP, JavaScript/TypeScript, Python, and more. That range makes AI-assisted delivery practical because I can review generated output across stacks instead of trusting it blindly.
I focus on the work that protects production: system design, security, server setup, DevOps and CI/CD, code review, integration, UX/CSS refinement, and translating business needs into precise implementation prompts. AI accelerates implementation; accountability for design, quality, deployment, and operations stays with me.
Beyond workflow, I also work with MCP and build AI features using OpenAI, Claude API, Groq, and the Model Context Protocol.
I focus on the work that protects production: system design, security, server setup, DevOps and CI/CD, code review, integration, UX/CSS refinement, and translating business needs into precise implementation prompts. AI accelerates implementation; accountability for design, quality, deployment, and operations stays with me.
Beyond workflow, I also work with MCP and build AI features using OpenAI, Claude API, Groq, and the Model Context Protocol.