Natalie Serrino is a Co-Founder and systems engineer based in San Francisco with 10 years building cloud-native observability and edge AI infrastructure. As a founding engineer at Pixie (a CNCF project acquired by New Relic) she led backend and database work—implementing streaming agent-update APIs, hardening the query broker, adding cluster-aware Kubernetes integrations, and evolving schemas to make debugging more reliable. Her Stanford visiting scholar research applied eBPF and Kubernetes to profile distributed ML workloads, and she now focuses on simplifying on-device inference to speed deployment of foundation models and vision transformers. A repeat founder with roles at Observe and as an EIR at Benchmark, she pairs startup grit with deep systems expertise and a Brown computer engineering foundation to move complex ML and observability ideas into production.
11 years of coding experience
13 years of employment as a software developer
BS, Computer Engineering, BS, Computer Engineering at Brown University
Contributions:31 reviews, 721 commits, 3 PRs in 2 years 10 months
Contributions summary:Natalie primarily focused on enhancing the metadata service and the query broker within the Pixie project, showcasing expertise in backend development and database management. Contributions included implementing a streaming API for fetching agent updates, improving error handling in the query broker, and adding support for fetching cluster-specific information from the Kubernetes API. Additionally, the user demonstrated skills in database management by updating the database schema to store new fields, such as previous vizier status, for improved debugging capabilities.
Contributions:77 commits, 32 pushes, 1 branch in 26 days
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