Song Li

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Summary

🤩
Rockstar
Jonathan Li is a software engineer with four years of experience building backend and ML infrastructure at top tech companies, currently focused on ML Data and Bulk Inference developer experience at Google. He previously drove payments and ML training platform work at Stripe and has internship experience across Google, Amazon, Datadog, and Kleiner Perkins, giving him a strong foundation in scalable systems and developer-facing APIs. A UT Austin computer science student based in the Greater Seattle Area, he blends academic rigor with hands-on production engineering. His early research in graph theory hints at a taste for algorithmic problem solving that informs his infrastructure design choices. Jonathan is comfortable shipping cross-functional platform features that support both developer productivity and large-scale ML workloads. He’s open to backend and API roles and can be reached at jonathansli@utexas.edu.
code4 years of coding experience
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Github Skills (22)

boltdb9
monitoring9
distributed-tracing9
profiling9
otel9
templating9
logging9
datadog9
go8
vault8
apm-agent8
terraform-provider8
terraform8
observability8
rendering7

Programming languages (1)

Go

Github contributions (5)

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lliissoonngg/gomplate

Jan 2024 - Jan 2024

A flexible commandline tool for template rendering. Supports lots of local and remote datasources.
Contributions:11 pushes, 1 branch in 14 days
Terraform Datadog provider
Contributions:2 reviews in 9 days
datadogterraformterraform-provider
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