Connor Mccarthy
Software Engineer (Tech Lead) at Google
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolConnor Mccarthy is a software engineer and tech lead in Seattle with six years of experience building production AI infrastructure and data-intensive applications. Currently leading AI compute and large-model serving efforts on Google Cloud’s Vertex AI, he blends backend systems expertise with practical ML deployment know-how. He has a track record of improving ML pipelines in open-source Kubeflow—refactoring SDK components, adding control-flow features, and extending GCP integrations—which reflects a knack for making complex ML workflows more reliable and consistent. Earlier roles span venture-backed data platforms, healthcare and finance systems, and applied deep learning for grid forecasting, showing comfort across product stages and domains. Trained in economics with high honors, he brings quantitative rigor and systems thinking to engineering trade-offs and operational design.
6 years of coding experience
3 years of employment as a software developer
Economics, Economics at University of OtagoB.A., Economics, with High Honors, B.A., Economics, with High Honors at Colgate University
Github Skills (10)
component-development10
json10
python10
api-design9
testing8
yaml8
data-structure7
data-structures7
cloud-services7
cloud-infrastructure7
Programming languages (7)
Github contributions (5)
kubeflow/pipelines
Mar 2022 - Jan 2023
Machine Learning Pipelines for Kubeflow
Role in this project:
Back-end Developer
Back-end DeveloperContributions:49 releases, 678 reviews, 164 commits in 10 months
Contributions summary:Connor's commits primarily focused on refactoring and improving the KFP SDK, especially within the context of component specifications and execution logic. They made significant changes to how components handle arguments, including renaming parameters to improve consistency. The user also introduced support for features such as if/else logic, and implementing support for additional Google Cloud Platform features, demonstrating a strong understanding of the project's core functionality and the underlying framework.
pipelinetektondata-sciencemachine-learningmlops
connor-mccarthy/website
Feb 2022 - May 2024
Kubeflow's public website
Contributions:2 PRs, 120 pushes, 40 branches in 2 years 3 months
kubeflowkubernetes
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