James Bartlett
Founding Engineer at Gimlet Labs, Inc.
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJames Bartlett is a founding engineer with a decade of experience building production-grade backend systems for AI and cloud-native startups from Berkeley. He co-founded and scaled engineering efforts at Pixie Labs and now Gimlet Labs, bringing deep hands-on experience in observability and distributed back-end work—contributing to notable open-source projects like Pixie’s Kubernetes-native observability stack. His background blends machine learning research and applied systems engineering from roles at Whisper.ai and Alexa Prize work, plus teaching and curriculum development at UC Berkeley, so he moves comfortably between model design and robust service engineering. Known for improving reliability and error handling in complex pipelines (bigquery integrations, artifact manifests, healthchecks), he favors pragmatic fixes that unlock developer velocity and production stability.
10 years of coding experience
5 years of employment as a software developer
Electrical Engineering and Computer Science, Electrical Engineering and Computer Science at University of California, Berkeley
Github Skills (9)
go10
back-end-development10
protobuffer10
protobuf10
grpc10
bigquery9
distributed-systems8
githubaction-workflow7
github-ci7
Programming languages (11)
Github contributions (5)
pixie-io/pixie
Jan 2020 - Jan 2023
Instant Kubernetes-Native Application Observability
Role in this project:
Back-end Developer
Back-end DeveloperContributions:443 reviews, 386 commits, 500 PRs in 3 years
Contributions summary:James primarily focused on making improvements to the backend of the system. The user implemented changes to the PxL script functionality. The user also made code changes to update the bigquery table and the artifact manifest to add functionality and handle errors properly. They appear to work on various elements of the system including the healthcheck, and a number of related services.
kubernetesobservabilitygolangebpfvega
gimletlabs/torch-mlir
Apr 2024 - Sep 2025
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
Contributions:10 reviews, 14 PRs, 25 pushes in 1 year 4 months
pytorch
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