Bio
Natalie Serrino is a co-founder of Gimlet Labs and an engineering leader behind KForge, a system that uses AI to generate and optimize the specialized kernels powering machine-learning workloads across different processors. Her work tackles a central obstacle to efficient AI infrastructure: applications increasingly span multiple models, tools, and computational stages, yet adapting their software to unfamiliar accelerators requires scarce systems expertise.
Serrino studied computer engineering at Brown University, where she helped establish Spira, an engineering program for high-school girls supported by the National Science Foundation. She subsequently became a founding engineer at Observe and Pixie Labs. Following Pixie’s acquisition by New Relic in 2020, she worked there as a principal engineer, developing infrastructure observability techniques including Kubernetes autoscaling based on application-specific HTTP traffic.
At Gimlet, which launched publicly in October 2025, Serrino applies that operational background to heterogeneous inference orchestration: assigning individual stages of agentic applications to processors suited to their distinct computational and memory requirements.