Healthcare is where great engineering meets human consequence, and it is the one industry every human on earth depends on many times in life. I have spent years building scalable AI in high-pressure production environments, and I want to channel that same operating model into healthcare with humility and care. In most industries, better software improves convenience. In healthcare, better systems can return time to clinicians, reduce preventable friction, and support clearer decisions when stakes are high. That is the challenge I want most: complex work, high standards, and real accountability to outcomes. I am drawn to environments where reliability is non-negotiable, trust must be earned every day, and technical quality is measured by how well the system serves people under pressure. This path is also personal for me. My sister works in nursing, and healthcare has been a serious part of my family story. I have seen how demanding this work is and how much impact better tools can have for people on the front lines. Healthcare runs in the family, and I want to contribute from my side of the table by building AI systems that are dependable, intelligent, and truly worthy of the people who rely on them. My passion is to build technology that gives clinicians more support and gives patients better chances at healthier, happier, longer lives.

• Agentic AI systems that remove administrative drag while preserving trust, auditability, and real-world usability.
• Evaluation pipelines that separate deterministic truth from judgment-based quality so teams can improve models with confidence, not guesswork.
• Human-in-the-loop workflows that give clinicians leverage without stealing control where control matters most.
• Operational dashboards that make reliability, latency, cost, and failure modes visible enough to manage like adults.
• Production-grade architecture that can stand up to scrutiny, scale responsibly, and earn its place in a high-stakes environment.

• Senior AI Systems Engineer roles building healthcare technology that visibly improves patient outcomes, clinician effectiveness, access to care, and the dignity of the care experience.
• Teams that treat AI evaluation, monitoring, privacy, safety, and deployment discipline as foundational engineering responsibilities, especially when the product touches high-stakes clinical or patient workflows.
• Opportunities to apply my experience in LLM infrastructure, RAG, agents, evaluations, distributed systems, mobile apps, and cloud operations to healthcare systems where reliability and human impact both matter.
• Products that help clinicians spend less time fighting fragmented software and more time exercising judgment, empathy, and care.
• High-standard environments where rigor beats hype, evidence beats demos, and the mission is worthy of real effort.

I have built scalable AI systems for large, real-world audiences, and I want my next chapter to be healthcare with the same seriousness and deeper purpose. I care deeply about helping people live healthier, happier, longer lives, and I want that mission to define what I build next. If your team is building healthcare AI with real standards, real ambition, and a real commitment to quality, I would value the chance to talk. I am ready to help build systems people remember quietly, for the best reason: they worked when they were needed most.