About

I’m Carlos Rodriguez, a first-generation Mexican American from Chicago’s Southwest Side, and an AI systems researcher whose work centers on representational fidelity: the degree to which AI systems accurately encode, reflect, and serve the humans they claim to represent.

Growing up in Gage Park taught me that the systems designed to serve communities often don’t reach them. Working inside Microsoft and Northwestern Medicine taught me how those systems get built. My research is what happens when you take both seriously at the same time.

I work across three scales:

Model level

I study how demographic identity gets encoded and distorted in ways behavioral benchmarks never catch.

Institutional level

I design tools that help people make better decisions with AI, not just faster ones.

Community level

I build with communities that existing systems were never designed to serve.

I build the measurement instrument before I build features. I treat constraints as material, not blockers. I ship things real users touch.

Currently splitting my time between research, applied AI work at Northwestern Medicine, and an Ambassador role at Anthropic. If you work on alignment, evaluation, or applied AI in healthcare or education, let’s talk.