Dave Holmes-Kinsella

Healthcare AI company automating benefits verification and payer interactions.

• Reduced month-end invoice preparation from 14 days to one minute by establishing authoritative data sources, explicit ownership, and upstream monitoring between product engineering and analytics — catching data issues before they spread.
• Introduced structured pull-request review, architecture compliance, evidence-based testing, and validation into AI-assisted development; led adoption of evaluation loops across the analytics function.
• Designed and shipped a production Markov-based agentic sequencing system that selects the next action from contact state, lifting AI campaign call completion 5.5× (0.89% → 4.95%) across 100,000+ interactions.
• Led the company's first disparate-impact study of AI outcomes across a Medicare and managed-plan population (CDC/ATSDR 2022 Social Vulnerability Index, ZIP code), exercising judgment under regulatory and ethical ambiguity with no internal playbook.
• Cut operational insight latency from two days to under two hours during a live customer pilot using deterministic retrieval, model-based problem identification, and root-cause analysis; shipped the first version in two days.

Banking-as-a-service platform providing banking infrastructure to fintech companies.

• Architected the financial data-integrity platform that reconciled $100B+ in ledger activity to the penny between Synctera's ledger and its banking partners.
• Increased data-platform adoption 267% by launching Synctera Insights and Secure File Delivery, converting internal analytics into customer-operated products.
• Built reconciliation evidence, exception reporting, and investigation systems that cut turnaround from weeks to three days, increasing Finance and Payment Operations productivity 6×.
• Established analytics engineering architecture, development, testing, and code-review standards across the engineering organization.

AI inventory-management platform for grocery retailers; among the company's first dozen employees.

• Helped drive an 80% reduction in stock-outs and a 25% reduction in shrink through analytics products focused on adoption of AI ordering recommendations.
• Built analytical capability across the organization by training Business Operations in SQL and coaching engineers in advanced query design.

Embedded, short-cycle technical consulting across banking, fintech, datacenter infrastructure, legal technology, and healthcare revenue-cycle management.

• Facebook (via PRO Unlimited), Data, Metrics & Process, 2018–2019: turned an open-ended data-quality mandate into a five-phase technical roadmap; embedded with engineering teams to improve SQL, warehouse design, and analytical architecture.
• Palate App, Technical Advisor, 2018: designed a PostgreSQL forensic-auditing system for change capture and retrospective investigation, and a polymorphic-key architecture for a JSON-based NoSQL extension.

Machine-learning consumer purchase analytics company; acquired by Rakuten.

• Built the company's first retail analytics products; internal expert on performant analytical SQL and data-system architecture.
• Contributed to a $23M financing; identified the VibrantData acquisition opportunity and led the data transition through Rakuten's acquisition of Slice.

• Founded Tungsten, a cloud database and analytics platform for telecommunications network planning.

Wireless backhaul provider.

• Invented a geospatial indexing approach for evaluating network opportunities, improving network-design efficiency 10×+ and cutting capital-investment decision cost 10×.
• Built what became the telecommunications industry's most comprehensive database of cell sites, towers, and fiber routes; owned decision-support systems for multimillion-dollar infrastructure investments and FCC filings.

• Helped produce the largest sales in the Australasia market; authored Using Gupta SQLWindows, Special Edition (10,000+ copies sold).