United States
• Curated and standardized healthcare documents—including patient intake forms, administrative workflows, and clinical protocols—to strengthen AI model training accuracy and compliance with regulatory standards. • Designed and tested realistic healthcare queries that replicated real-world clinical and administrative scenarios, ensuring robust AI performance across diverse use cases. • Conducted critical reviews of AI-generated outputs to validate accuracy, terminology precision, and alignment with healthcare compliance requirements (HIPAA, CMS, payer guidelines). • Delivered structured, actionable feedback to cross-functional data science and product teams, accelerating AI model refinement and adoption within clinical workflows. • Partnered with compliance, clinical, and operations leaders to align AI training data with evolving healthcare documentation standards and regulatory expectations. • Authored and maintained transparent review documentation to support reproducibility, audit-readiness, and quality assurance across AI training cycles. • Championed best practices in handling sensitive patient data and institutional information, ensuring privacy and security were safeguarded throughout all AI-driven initiatives. • Leveraged extensive healthcare operations experience to bridge the gap between frontline medical workflows and advanced AI applications, ensuring practical usability and value for providers and patients.
• Lead operational strategy and daily management of diagnostic imaging services across 50+ multi-state, multi-site locations, ensuring alignment with corporate objectives. • Developed and implemented streamlined workflows, reducing imaging cycle times to under 20 minutes and improving overall patient satisfaction. • Spearheaded Six Sigma methodologies to enhance quality, efficiency and revenue, resulting in a 60% increase in imaging volume (2021) and +$15M, 82% (2022) and +$20M, and 150% (2023 & 2024) with +$23M in 2023 and +$25M in 2024. • Oversaw staffing, compliance, financial planning, and productivity metrics, driving cost-effective operations. • Ensured adherence to Mammography Quality Standards Act (MQSA) and ACR Accreditation standards.
Lean Six Sigma Yellow Belt, Lean Six Sigma Green Belt