Portfolio
Data products, consulting, and solo ventures. From 0 to $9M ARR at NeuroBlu to shipping five products solo with Claude Code.
I build data products in healthcare and teach teams how to use AI to do it faster. From 0 to $9M ARR at scale, solo ventures shipped with Claude Code, and consulting engagements that turn insight paralysis into decision clarity.
NeuroBlu Analytics
Healthcare analytics platform from concept to scale. Epic certified, FDA cleared. Clinical decision support, real-world evidence, and pharma commercial intelligence across 7+ enterprise clients.
See the product →ReviveHealth Market Profiler
Market intelligence platform for health system strategic planning and competitive analysis. Grew billable revenue 225% over 4 quarters, serving 12+ health system clients.
See the case study →HCA Patient Experience
Enterprise patient experience analytics across one of the largest US health systems. Saved 120 hours/month by replacing manual division-level reporting.
See the case study →InstantDoc
AI clinical triage platform co-founded with Jon Pangia, MD (emergency medicine). Connects patients to the right level of care without ER costs or wait times. GenAI-powered routing with validated clinical protocols.
PM Archetype
Product management career assessment and AI coaching. 23-question assessment maps you to one of 5 PM archetypes, then AI coach Maya guides career clarity.
Take the assessment →GenAI for Business Leaders
Executive training on how to actually use GenAI. Realistic prompts, hands-on exercises, and a CLI tools module. Industry forks for healthcare, tech, and commercial real estate.
ThinkHaven
AI decision accelerator for pressure-testing strategy before high-stakes meetings. Anti-sycophantic feedback by design. Produces decision logs and lean canvases.
Try the demo →CensusChat
Query US Census records in plain English with sub-second responses on a 44GB dataset. DuckDB + MCP + Census API. No hallucinations, structured data access only.
View on GitHub →DPOS — Data Product Operating System
The framework I use in consulting engagements. Four layers that determine whether a data product ships value or collects dust: People, Process, Product, and Platform.
Coaching, data product building, and data product strategy.
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