Twenty years in healthcare technology — from startup to Director at a $500M global medical device company. Product management across four continents. Fractional operator, AI implementation partner, and advisor to early-stage founders.
Five areas grounded in direct operational experience — not advisory theory.
For early-stage companies that need someone to build the operational layer — not advise on it. Governance frameworks, delegation of authority, founding team agreements, first hires, P&L ownership, and the SOPs that make a small team scalable. I've done this from both sides of the table.
Not theoretical. I led LLM fine-tuning and RAG implementation in a regulated medical device environment — 40% contact volume reduction. I founded and built a healthcare AI company. I help you identify where AI creates real leverage, then manage the implementation without guesswork.
Twenty years across six healthcare IT companies. Deep in clinical workflow design, EHR/EMR ecosystems, HIPAA and GDPR compliance, SaMD regulatory positioning, global product management, pilot program design, and implementation program management.
The layer most healthcare modernization projects stall on. FHIR, HL7, IHE, REST APIs, EHR Connect — I've designed and delivered integration solutions that generated $6M+ in recurring revenue. I can define the architecture, evaluate vendors, and own the implementation project end to end.
The "what don't I know yet" engagement for first-time founders. Governance, IP protection, cap table mechanics, the hiring sequence that actually works, regulatory positioning before it becomes a crisis, and how to evaluate a build partner. I've been employee #4 at a startup. I've also been the founder.
I work with a small number of clients at a time. The work is high-touch, not templated.
Pre-seed to Series A companies building in healthcare, AI, or adjacent spaces. Typically strong on vision and product — and in need of someone who's been on both sides of the table to build what you can't hire for yet.
Regional health systems, medical groups, clinical research organizations, and healthcare IT companies trying to modernize — typically around AI or data integration — without building a full internal team first.
Every engagement is direct — you work with me, not a team of junior consultants.
An ongoing embedded operator role — typically 10–20 hours per month. You get a COO or CPO-level function without the full-time hire. Best for early-stage companies in an active 6–18 month operating window where the operational load is real but a full-time hire isn't yet justified.
Defined scope, defined deliverable, defined timeline. Examples: AI implementation roadmap, data integration architecture, pilot program design, governance framework, or founding engineer hiring process. Priced by scope after an initial conversation.
Light-touch retained engagement for founders who have operational capacity but need senior-level thinking on specific decisions. Monthly retainer, minimal overhead, maximum leverage. Typically a few structured hours per month — calls, async reviews, and decision support.
All engagements begin with a no-cost introductory call. Pricing finalized based on scope and fit.
I've spent twenty years at the intersection of healthcare and technology — starting in hospital IT and building toward Director of Implementation and Customer Success at a global medical diagnostics company with $500M in annual revenue. Along the way I built integration partnerships that generated $6M in recurring revenue, led an AI implementation in a regulated clinical environment that cut contact volume by 40%, managed product launches across four continents, and oversaw teams in the US, Europe, India, and Latin America.
In 2025 I stepped out of the corporate track to found VYUhealth, a healthcare data intelligence company. I built it from scratch using AI development tools, signed letters of intent with health systems, and completed an IP assignment in 2026. That experience — blank page to working product to a completed exit — taught me things a career inside large organizations simply can't.
Palm Bay Labs is how I work with a small number of clients at a time: early-stage founders who need an operational partner who's been in the room, and healthcare organizations that need to move faster on AI or data integration than their internal teams can manage alone. The work is specific, direct, and bounded — I'm not running a firm.
Tell me what you're working on. I'll respond within one business day.