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Current Position

Director of AI Engineering — Gifthealth

April 2026 — Present

Leading the development and strategy of AI-powered systems across pharmacy operations, customer experience, and healthcare workflows at a PE-backed digital pharmacy platform serving millions of patients nationwide. Responsible for building and scaling the AI engineering function — including production ML systems, agentic workflows, NLP, predictive modeling, and intelligent automation — in a HIPAA-regulated environment where safety, explainability, and compliance are first-order requirements. Partnering directly with the CTO and executive leadership to define near-term execution and long-term AI strategy across the organization.

Three Strategic Fronts

1. Enterprise & Pharmacy Logistics

Applying AI to optimize pharmacy operations, supply chain, and fulfillment workflows at scale. Focus areas include demand forecasting, intelligent routing, inventory optimization, and operational automation — driving efficiency gains across the logistics backbone that supports millions of prescriptions.

2. AI Intelligence Platform

Architecting the core AI platform layer: deep agentic systems with self-improving capabilities, robust guardrail mechanisms, human-in-the-loop orchestration, and scalable evaluation frameworks. Building on a graph-first architecture from day one — integrating EHR, provider, drug, and digital pharmacy data into knowledge graph backends (Neo4j) that power intelligent retrieval, reasoning, and decision support across the organization.

3. Customer Experience Agency

Deploying AI systems to deliver the highest-resolution, most scalable patient and customer interactions — from intelligent triage and automated resolution to personalized engagement. Building agentic CX workflows that maintain quality and compliance at scale while dramatically improving response time and patient satisfaction.

Technical Vision & Architecture

Graph-First, Agent-Native

Building a modern AI stack grounded in knowledge graphs and agentic architectures from the foundation up — not bolted on after the fact. The platform integrates EHR, provider, drug reference, and pharmacy operational data into a unified graph layer that serves as the backbone for all AI capabilities.

Core Architectural Pillars

  • Deep Agentic Systems: Frontier multi-agent architectures with self-building capabilities, structured execution graphs, and composable tool chains
  • Guardrails & Safety: First-class guardrail mechanisms, HIPAA-compliant data handling, and explainability requirements baked into every system
  • Human-in-the-Loop: Calibrated autonomy with escalation paths, clinician oversight integration, and confidence-aware routing
  • Evaluation & Observability: Scalable evaluation frameworks for measuring agent performance, drift detection, and continuous improvement
  • Graph Backends: Neo4j-powered knowledge graphs unifying pharmacy, clinical, and operational data for intelligent retrieval and reasoning
  • Fiscal Deployment: Cost-aware model serving, efficient inference strategies, and ROI-driven prioritization of AI investments

Contact & Collaboration

Interested in discussing AI in digital pharmacy, agentic architectures, or knowledge graph applications in healthcare? Please reach out:

Let's build the future of AI-powered healthcare together.