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PhD AI/ML Engineer building agentic AI and cloud systems across healthcare, energy and operations. Python • AWS • Google Cloud.
An approval-gated AI phone agent that uses grid-risk evidence to place disclosed calls to authorized recipients, capture human review and consent, and create auditable escalation packages.
A Strands-powered workflow that turns synthetic grid-risk events into forecast-informed mitigation plans, human-approved work orders, and auditable decisions.
An agentic hospital-flow copilot that analyzes discharge blockers, staffing pressure, and bed capacity to give charge nurses explainable, human-approved action plans.
A multi-agent incident command center that turns weather, scheduling, budget, and risk disruptions into transparent, producer-approved recovery plans.
Emergency Department nurse-staffing decision-support dashboard using WebMCP imperative tools with strict Human-In-The-Loop safety guardrails.
Human-governed healthcare staffing with Gemini 3.5, Vertex AI, deterministic safety controls, and audited approval.
Agentic disaster-response AI that learns from past grid failures to guide faster, safer recovery while keeping humans in control.