Ben Drolet
AI infrastructure engineering for healthcare
I help healthcare companies build the LLM platforms and internal AI tooling their engineers need to ship production AI products safely.
Get in touch →The Problem
Most healthcare organizations trying to build with AI hit the same wall: the product vision is clear, but the infrastructure underneath isn't.
LLM deployments break without the right abstractions. Engineers rebuild the same tooling on every project. Regulated environments add constraints that generic cloud architectures don't handle well.
Getting this right early determines whether your AI program ships or stalls.
What I Do
LLM Platform Engineering
Design and build the infrastructure for LLM-powered applications — model routing, prompt management, evaluation pipelines, observability, and deployment systems that survive model upgrades.
Internal AI Developer Platforms
Build the tooling and abstractions that let product engineers use AI without becoming AI infra engineers — shared components, standardized access patterns, and the guardrails that matter in healthcare.
About
16 years as a backend software engineer. Most of that time in healthcare. Recently focused on the infrastructure side of AI — building the platforms, pipelines, and internal tooling that production AI applications run on.
I work with healthcare engineering teams that have serious AI ambitions and need the infrastructure layer built right.
Based in San Francisco.
Contact
If you're building AI infrastructure in healthcare, I'd like to hear what you're working on.
[email protected]