I’m a Customer Support and Systems-focused professional with a strong interest in using AI to build practical solutions and improve workflows.

My background is in:

• Technical & enterprise customer support
• Systems troubleshooting and QA
• Translating user problems into actionable solutions

I’m currently exploring how AI can support better tooling, faster analysis, and more efficient support processes.

• Using AI to build solutions for analysis, workflows, and task automation
• Developing small, practical tools that solve real problems
• Troubleshooting complex system issues and reproducing bugs
• Documentation, process improvement, and knowledge sharing

Repo: https://github.com/rlanier-webdev/ai-job-analyzer

A lightweight AI-assisted project designed to:

• Analyze job descriptions
• Extract key skills and requirements
• Compare roles against experience and resumes
• Support better application and career decision-making

This project reflects how I approach AI: as a thinking and solution-building tool, not magic automation.

• Assisting with task prioritization and workflow planning
• Analyzing unstructured text (job descriptions, requirements, notes)
• Supporting documentation and communication clarity
• Building solutions using AI to reduce friction and save time
• Experimenting with prompt design to get consistent, useful outputs

Languages: Python (learning), SQL (analysis), basic scripting
Frameworks: Django (foundations)
AI Tools: ChatGPT, Gemini, Claude, Copilot, prompt experimentation
Support & Ops: Jira, Zendesk, Hubspot
Other: QA testing, system analysis, documentation

I’m actively building toward roles that combine:

• Customer experience
• Systems thinking
• Practical AI solution-building
• Workflow and process improvement