CarbonLayer

Data engineer and schema design- boundary-tagged metering, time-series pipelines, grid-mix data integration. More specialist: focused on measurement/verification layer for AI infra emissions

I’m learning how to make AI inference routing more transparent—especially per-request cost, latency, energy, carbon, and water estimates—and how to explain modeled impact clearly to developers.

Writing CarbonLayer’s healthcare water-risk disclosure guide to help teams understand AI infrastructure’s water impact through transparent, clearly labeled estimates.

Building CarbonLayer for AI developers. Open to discussing inference routing, per-request cost and latency, and practical ways to measure or reduce AI’s energy, carbon, and water impact.