I build AI-native tools, workflow automation systems, desktop utilities, browser tooling, and MCP-style agent integrations for real operational work.

My strongest work sits where business process meets software: repeated manual tasks, fragile handoffs, reporting friction, support bottlenecks, and tools that teams actually need to use every day.

I turn messy operations into reliable tools — then use AI agents, automation, and custom software to make the work faster, clearer, and easier to repeat.

This profile contains public projects and general technical interests. Employer-specific systems, data, and confidential implementation details are not published here.

• AI tooling and agent workflows — MCP servers, local agent bridges, browser/tool surfaces, context systems, and Claude/Codex-oriented workflows.
• Workflow automation — API integrations, data pipelines, task systems, and repeatable process automation.
• Desktop productivity apps — Windows/.NET/WPF tools for dictation, transcription, local-first utilities, and human-in-the-loop workflows.
• Browser and capture tools — Chrome extensions, DOM-to-Markdown exporters, page capture utilities, and web-to-AI handoff workflows.
• Practical software — tools for documentation, task tracking, and reliable team execution.

I'm focused on AI-assisted operational software: tools that help humans and agents work inside real systems instead of toy demos.

That includes:

• local machine-control gateways for AI agents
• MCP servers and agent-accessible tool surfaces
• AI dictation and transcription products
• workflow and API automation
• Chrome extension tooling for research and capture
• agent-first design and implementation workflows

AI voice dictation and transcription for Windows.
A WPF desktop app with global hotkeys, floating capture UI, multi-provider transcription, prompt profiles, local SQLite history, and workflow-specific transcription modes.

I also explore local agent bridges, MCP integrations, browser capture utilities, and agent-first developer workflows.

flowchart LR
    A[Operational friction] --> B[Map the workflow]
    B --> C[Find repeated manual work]
    C --> D[Build tool or automation]
    D --> E[Connect APIs, data, and UI]
    E --> F[Add AI where it improves speed or judgment]
    F --> G[Make it usable in the real workflow]
    G --> H[Reduce friction, support load, and execution time]

    D --> I[Desktop apps]
    D --> J[Browser tools]
    D --> K[MCP servers]
    D --> L[Reporting pipelines]
    D --> M[Workflow systems]

AI tooling · workflow automation · MCP servers · agent workflows · desktop apps · Windows automation · browser extensions · Chrome extensions · Python automation · TypeScript tooling · C#/.NET · WPF · n8n · OpenAI · Anthropic Claude · Gemini · OpenRouter · agentic systems · operational software

Automate the routine. Systemize the messy. Give humans and agents better tools to do the work.

• You need practical tools that remove repeated operational pain.
• You are building AI-assisted workflows and need practical tooling around them.
• You want browser, desktop, or MCP surfaces that make agents more useful in real work.
• You care more about shipped systems than buzzwords.