Kai Hayashi
Member Of Technical Staff at OpenAI
United States
Summary
👤
Senior🎓
Top SchoolKai Hayashi is a Member of Technical Staff with 14 years of experience building large-scale, high-throughput systems and orchestration for ML and video platforms. He has led teams and shipped foundational services at Twitch—launching an AWS-based video service and geographically sharding critical systems—and now focuses on workload scheduling and ML systems at OpenAI. Kai combines deep backend and DevOps expertise (including contributions to the popular hystrix-go project by adding robust metrics and monitoring integrations) with a track record of building analytics and identity services that run at production scale. Known for tackling ill-defined, hard problems, he brings a blend of hands-on engineering, systems design, and operational rigor informed by an MS in Computer Science.
14 years of coding experience
11 years of employment as a software developer
MS Computer Science, MS Computer Science at Northwestern University
Github Skills (7)
monitoring10
graphite10
go10
statsd10
data-collection10
plugin10
metric10
Programming languages (2)
Github contributions (5)
afex/hystrix-go
Apr 2015 - Apr 2015
Netflix's Hystrix latency and fault tolerance library, for Go
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:9 commits, 4 PRs, 5 comments in 14 days
Contributions summary:Kai primarily focused on enhancing the project's metric collection and monitoring capabilities. They implemented a Graphite plugin to ship circuit statistics to a Graphite backend and a Statsd collector to send metrics to a Statsd backend. Furthermore, they added features for circuit open monitoring in the Statsd collector and addressed bugs to improve the reliability of the metric collection systems.
golanghystrixnetflixtolerancefault
crxpandion/hystrix-go
Jan 2015 - Apr 2015
Contributions:9 pushes, 3 branches in 3 months
golanghystrixnetflixtolerancefault
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