I solve complex SaaS and operational problems.
With 10+ years across enterprise support environments, I focus on API investigation, incident resolution, SQL diagnostics, workflow optimization, and building systems that make teams faster and customers more successful.
Currently moving deeper into Support Engineering, platform operations, internal tooling, and automation.
- Customer issue investigation → technical root cause analysis
- SQL-based diagnostics & data validation
- Internal tooling & workflow automation
- AI-assisted support operations
- API troubleshooting & integration debugging
- Incident management & escalation ownership
- Knowledge systems & process improvement
SQL • Log Analysis • Data Validation • Root Cause Analysis
REST APIs • Postman • JSON • API Diagnostics
OpenAI • Claude • Gemini
Prompt Engineering • Structured Analysis • Workflow Automation
Incident Management • Escalation Management • Troubleshooting • Knowledge Systems
Git • GitHub • Jira
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
I’m actively building toward roles that combine:
- Customer experience
- Systems thinking
- API Troubleshooting
- Practical AI solution-building
- Workflow and process improvement