Vetted Root Cause Analysis Professionals

“AI/LLM engineer who has owned end-to-end production delivery of multi-agent RAG systems on Azure (React + FastAPI + data pipelines + Terraform), including rigorous evaluation/monitoring and reliability guardrails. Shipped an AI-driven observability root-cause analysis assistant that reduced MTTR ~30%, cut alert noise ~20%, and reached ~70% adoption in the first month; also built a clinical document Q&A system with citations and compliance-oriented controls.”

“Built multiple AI projects end-to-end as a solo developer, including a privacy-focused LLM app that redacts PII before sending prompts to an external model and a LangGraph-based multi-agent triage system for log analysis. Stands out for combining LLM/agent design, deployment troubleshooting, and practical workflow automation with a strong emphasis on privacy and explainability.”

“People/HR leader in healthcare settings (Reunion Rehab, Star Behavioral) who partners with executives and clinical/operations leaders to drive org redesign, improve engagement, and reduce turnover. Uses data (surveys, stay interviews, exit/turnover metrics) and systems thinking to diagnose root causes and implement process and leadership interventions, delivering measurable results (18–20% turnover reductions; 25% engagement lift).”