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