I enjoy connecting business needs with hands-on technical work. My focus is on AI integrations, useful automation, and making complex systems easier for people to adopt.

I bring a practical perspective to projects: define the problem, build a clear workflow, test it, and document what matters.

• AI integrations — connecting assistants to real applications through APIs and the Model Context Protocol (MCP).
• Project delivery — translating requirements into actionable plans, coordinated testing, and clear documentation.
• Workflow automation — reducing repetitive work and making everyday tools more useful.
• Partner enablement — helping teams understand, evaluate, and adopt technical products.

An MCP server that connects compatible AI assistants to the IvedaAI video analytics API, supporting camera management, alerts, analysis jobs, and search workflows.

Built with TypeScript and Node.js, with a read-only mode, configuration guidance, and documented tool workflows.

View repository · Usage guide · Design notes

Understand the need → Make it usable → Test the workflow → Document the result

I value clear scope, thoughtful defaults, and documentation that helps the next person get started.