AI Integration, Custom Tooling & Developer SDKs
Embedding Anthropic Claude, OpenAI LLMs, Model Context Protocol (MCP) servers, and publishing developer packages.
As an Anthropic Certified AI developer, I help forward-thinking teams transition from manual workflows to AI-accelerated engineering, embedding intelligent conversational agents and building custom developer SDKs published on Pub.dev and npm.
Start a ProjectCore Technical Capabilities
Integration of Claude and OpenAI models for contextual search, chat, and data analysis
Custom Model Context Protocol (MCP) server development connecting LLMs to enterprise databases
Developer-friendly SDK architecture with flexible UI injection and offline fallbacks
Transitioning development teams to AI-assisted workflows (Claude Code, GitHub Copilot)
Development Lifecycle & Milestones
AI Use-Case Evaluation
Identifying high-leverage opportunities for generative AI, conversational agents, or custom developer SDKs.
Prompt & MCP Tool Engineering
Developing structured prompts, function calling parameters, and Model Context Protocol interfaces.
SDK Architecture & Packaging
Writing developer-friendly APIs with strict TypeScript/Dart interfaces, theming engines, and connection fallbacks.
Publishing & Documentation
Publishing packages to Pub.dev or npm, generating interactive documentation, and developer guides.
Technical FAQ
What is Model Context Protocol (MCP) and how does it help my business?
MCP is an open standard created by Anthropic that allows AI models to safely connect to your business data, databases, and APIs without custom one-off integrations, enabling agents to take actions in your systems.
Can you help our existing dev team adopt AI-assisted development tools?
Yes. At Netro Systems, I led the company-wide transition to AI-assisted development (Claude Code, Copilot, Codex), improving development velocity while maintaining strict code review and quality standards.