Jeremy is a builder who makes AI useful inside real healthcare workflows. He spent 12 years supporting a medical practice, shipping web, marketing, and operational systems where credibility and clarity are everything. He understands that if the output is not trusted, it will not get used.

Today, Jeremy focuses on “context coding” for AI: writing the specs, guardrails, and interfaces that turn LLMs from inconsistent demos into reliable features inside existing apps. He integrates AI into traditional stacks without forcing a rewrite, and he designs for teams with long tenured developers by making changes small, testable, and safe.

If Maxim is bridging the gap between applications and AI, Jeremy is that bridge. He can work with the legacy team, earn trust fast, and ship practical AI modules that reduce friction for staff and improve operational throughput without compromising quality.

Jeremy is an AI systems generalist with deep healthcare context who specializes in adding AI to existing applications without breaking trust, compliance, or workflow. He spent twelve years working closely with a medical practice on brand, marketing, and web development, which gave him a ground level understanding of how credibility, clarity, and patient experience drive real adoption in healthcare.

Over the last several years, Jeremy has focused on context coding and reliability for large language models, building prompt and guardrail systems that keep AI outputs accurate, consistent, and usable inside real operations. His work has involved wrapping AI capabilities around traditional web stacks and internal tools so front line staff get better intake, documentation, and decision support while existing systems stay intact.

He is comfortable sitting between older, long tenured developers who know the legacy systems and newer engineers who are excited about AI, translating between both sides and packaging AI features as simple, testable modules. His bias is to start from current workflows, identify the safest high leverage points for AI, and then prove value with small pilots that respect regulatory and reputational risk.

Jeremy is looking for a role where he can help a healthcare organization like Maxim connect its existing applications and data to modern AI in a careful, measurable way, aligned with leadership’s goals around digital transformation and operational excellence rather than one off experiments.