About
Data science leader with a proven record of turning AI research into measurable impact in healthcare and finance. My work has powered nationally recognized preventative health programs that saved over $81 million for the Medicare Trust Fund. The models I have deployed have been featured at top chronic disease conferences in Heart Failure (JCF, HFSA) and Diabetes (ADA) as well as recognized nationally by NAACOS, the American Medical Association, and the Wall Street Journal. I specialize in deploying machine learning models at scale to reduce costs, improve outcomes, and translate complex analytics into trusted operational tools.
Consulting Services
AI Strategy & Implementation
Executive-level consulting for AI initiatives. Design OKRs and deliverables for C-suite stakeholders, lead cross-functional adoption from executive sponsors to end users, and architect scalable solutions for organizational impact.
Data Operations & Infrastructure
Design and deploy end-to-end ML and data pipelines at scale. Build integration systems, operational monitoring frameworks, and production-ready infrastructure from prototype to deployment.
LLM & Agentic Workflows
Development of LLM-powered data pipelines using Agent-to-Agent (A2A) and Model Context Protocol (MCP) architectures. Leverage cutting-edge AI frameworks to deliver production-ready, enterprise-grade solutions.
Financial Risk Modeling
Advanced modeling and analytics for claims forecasting, financial risk assessment, and operational optimization across industries.
Key Experience
- Lead development of agentic workflows (A2A, MCP) to build efficient, SQL-agnostic, LLM-powered data pipelines for healthcare and research use cases
- Architect systems to ensure outputs are deterministic, evidence-backed, and operationally reliable
- Collaborate with clinical and technical leaders to translate cutting-edge research into deployable products
- Delivered advanced modeling, analytics, and workflow design for multiple organizations across healthcare, finance, and cybersecurity
- Manage a network of subcontractors (4 data scientists, 2 project managers) engaged on a project basis to scale client delivery
- Supported clinical trial analytics, claims forecasting, financial risk modeling, and supply chain attack vulnerability projects
- Developed an Algorithmic Assay for Platelet Counts from research prototype to commercial launch
- Directed data operations for blood collection services launch, including order tracking, sample lifecycle management, and financial monitoring across sites
- Built and maintained data pipelines linking Sysmex hematology analyzers, Babson databases, and Salesforce order tracking systems
- Served as head of Data Science, leading the entire team of 10+ data scientists, engineers, and project managers
- Operationalized predictive models that tracked over 10 million Medicare/Medicaid lives, flagging high-risk patients before critical events
- Designed and deployed predictive models for chronic disease progression and hospital admissions that powered preventative health programs driving record-breaking Medicare savings over $81 Million
- Guided ClosedLoop to achieve Best in KLAS (2021–2023) in Healthcare AI/ML, ranking above Epic, Cerner, and other major EHR vendors
- Co-founded specialty coffee shop showcasing Chinese-inspired coffee drinks in Austin, TX
- Oversee daily operations including financial planning, process optimization, and performance tracking to drive profitability
Let's Work Together
Interested in leveraging AI and data science to drive measurable impact in your organization?