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Matthew Schafer | VE7LTX

Telecom specialist, Red Seal electrician, sales enablement operator, and AI systems builder working at the intersection of communications technology, automation, CRM workflows, and practical field operations.

I build and support systems that connect technical infrastructure with real-world business needs. My background spans RF communications, low-voltage electrical systems, CRM implementation, sales operations, automation workflows, and applied AI development.

About Me

I am Matthew Schafer, commonly known as Matt or in the Amature Radio Space and online as VE7LTX.

My work combines technical problem-solving with customer-facing execution. I have experience in telecommunications, radio systems, electrical infrastructure, CRM systems, AI tooling, sales enablement, and operational process design.

I am especially interested in using AI to improve how people organize knowledge, automate repetitive work, troubleshoot systems, and make better decisions from messy real-world information.

Core Focus Areas

  • AI Automation & Agent Systems Building practical AI-assisted workflows, local agents, prompt systems, structured memory, and automation tools.

  • Telecommunications & RF Systems Working with radio systems, LMR accessories, frequency planning, technical troubleshooting, and communication hardware.

  • CRM & Sales Enablement Designing workflows, improving lead management, building better follow-up systems, and connecting sales activity with useful data.

  • Electrical & Low-Voltage Systems Applying field experience as a Red Seal electrician across automation, telecom, controls, and infrastructure projects.

  • Knowledge Systems & Documentation Creating structured reference libraries, technical documentation, Markdown-based knowledge bases, and reusable process frameworks.

Technical Stack

Languages

  • Python
  • JavaScript
  • HTML / CSS
  • PHP
  • Kotlin
  • Java
  • PowerShell
  • Bash
  • Markdown(MD)

AI & Automation

  • OpenAI / ChatGPT
  • Ollama
  • Gemini
  • Openclaw Ecosystem
  • Personal AI systems
  • Local LLM workflows
  • Prompt engineering
  • Agent orchestration
  • Vector memory concepts
  • Workflow automation with Zapier and Make

Python & Data Tools

  • Flask
  • FastAPI
  • Django
  • Tkinter
  • Pandas
  • NumPy
  • SciPy
  • Scikit-learn
  • Beautiful Soup
  • Scrapy
  • SQLite

Databases

  • SQLite
  • MySQL
  • PostgreSQL
  • MongoDB

Development Tools

  • GitHub
  • Cursor
  • Visual Studio
  • Android Studio
  • Notepad++
  • Linux
  • Fedora Server
  • Docker
  • NGINX

CRM & Business Systems

  • HubSpot
  • RepairShopr
  • Zoho
  • CimpleChat
  • Evosus
  • Opensouce Alternates

Field & Technical Systems

  • RF / LMR communications
  • Hytera radio systems
  • Kenwood radio systems
  • Low-voltage systems
  • Access control
  • CCTV
  • Control systems
  • Automation hardware
  • PLC Planning, Programming and Implementation

Current Interests

  • Building personal AI tools that act as practical assistants rather than novelty chatbots
  • Creating structured knowledge libraries for radio, electrical, telecom, and AI reference material
  • Improving CRM workflows for sales, customer support, and field operations
  • Exploring local-first AI systems using open-source models and self-hosted infrastructure
  • Developing automation systems that reduce manual admin work and improve operational visibility
  • Designing better documentation systems for technical users and non-technical customers

Projects & Direction

My ongoing work is focused on practical AI and automation systems that help bridge the gap between technical complexity and usable workflows.

I am especially interested in tools that can:

  • Capture and organize operational knowledge
  • Assist with technical troubleshooting
  • Improve follow-up and sales process consistency
  • Support field teams with better documentation
  • Connect CRM data, notes, files, and customer history
  • Run locally or semi-locally where privacy and ownership matter

Connect With Me


Practical systems. Clear documentation. Useful automation. Better communication.

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