I help founders, nonprofit leaders, and growing teams make confident technology decisions through focused assessments, product planning, AI workflow design, and ongoing Fractional CTO leadership.
Designed and launched production AI features using Claude, Amazon Bedrock, structured prompts, guardrails and human review.
Designed secure cloud platforms supporting HIPAA compliance, asynchronous care delivery and partner integrations.
Applied LLMs to reduce manual clinical triage by approximately 50%, improving response time while keeping humans in control.
Embedded with founders to lead engineering strategy, architecture, hiring and product execution through critical growth stages.
From architecture and infrastructure to hiring and compliance, I provide hands-on technical leadership that helps you avoid costly mistakes, accelerate delivery, and build teams with purpose and precision.
Reproductive Healthcare
Designed and led the development of an AI-enabled reproductive healthcare platform supporting accessible education, conversational assistance, secure cloud infrastructure, and healthcare partner integrations.
Healthcare Startup
Designed production AI workflows that reduced manual operational effort by roughly 50% using Claude and Amazon Bedrock.
Healthcare Startup
Architected secure AWS infrastructure supporting modern healthcare applications with compliance-first design.
Thiago was instrumental in defining and building Caraway's technology platform. He defined the v1 stack, built our mobile and provider applications, designed and managed a complex architecture with numerous integrations, and launched our MVP on time and on budget against extremely challenging timelines.
Focused engagements to clarify a product decision, security risk, delivery problem, or AI workflow. Ongoing technology leadership to turn those decisions into progress. You don't need to know which service fits before we talk.
Practical perspectives on technology leadership, AI products, and engineering execution.
Five product decisions to settle before building a healthcare AI product: intended use, the AI boundary, data flow, validation, and who owns it after launch.
Read insight
When does MCP simplify an AI product's integrations? Compare shared tool access with direct APIs, including security, ownership, and a practical pilot.
Read insight
Should you buy an AI product or build a custom solution? Evaluate workflow fit, quality, total cost, and ownership before committing to either path.
Read insight
Whether you’re planning your next product, scaling your engineering team, evaluating AI, or preparing for growth, let’s discuss how experienced technical leadership can help.