Doug Kelly
Principal AI Solutions Engineer, Digital Natives
Healdsburg, California, United States
Summary
🤩
Rockstar🎓
Top School
Top expert inGoogle Cloud Platform Development Essentials
Doug Kelly is a Principal AI Solutions Engineer with a decade of hands-on experience helping startups and enterprises build production ML systems across Google Cloud, AWS, and Microsoft. He advises founders and engineering teams on cloud-native AI architectures, MLOps, large-scale training and inference, and has run onboarding for GPU clusters and startup office hours including Y Combinator. A practical contributor to GoogleCloudPlatform training repos, he’s refactored image classification demos and integrated TFX InfraValidator into MLOps pipelines—work that reflects a focus on model maintenance, deployment, and reproducible pipelines. Based in Healdsburg with dual US/EU citizenship, he evaluates hybrid and remote opportunities across major tech hubs from SF to Zurich. His background spans instructor-led enterprise training to deep product work (TFX pipelines at Google) and startup-focused solution templates at Microsoft, giving him a rare blend of teaching, engineering, and go-to-market experience. Collected across cloud vendors and open-source labs, his portfolio shows a track record of turning ML research into operational systems that scale.
10 years of coding experience
8 years of employment as a software developer
Diploma, Diploma at Corona del Mar High SchoolMaster of Science - MS Data Science, Master of Science - MS Data Science at University of New HavenB.A Global Studies, B.A Global Studies at UC Santa BarbaraBA Global Studies La lingua e cultura italiana, BA Global Studies La lingua e cultura italiana at L'Universita di California Centro Studi di Siena
English, Italian
Stackoverflow
1reputation
0reached
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Github Skills (14)
tfx10
mlops10
deep-learning10
tensorflow10
devops10
python10
image-classification10
ml-deployment9
gcp9
machine-learning9
continuous-deployment9
keras9
kubernetes8
kubernetes-pods8
Programming languages (3)
Github contributions (5)
GoogleCloudPlatform/mlops-on-gcp
Apr 2020 - May 2021
Role in this project:
ML Engineer & DevOps Engineer
ML Engineer & DevOps EngineerContributions:18 reviews, 117 commits, 72 PRs in 1 year 1 month
Contributions summary:Doug primarily contributed to the implementation and integration of the TFX InfraValidator component into multiple lab pipelines. This included adding the component to the lab-01 walkthrough, adding it to the pipeline definition in lab-02, and incorporating it into the pipeline for lab-03. The user also made a minor correction in a text description within the lab-01 notebook, fixing a typo.
GoogleCloudPlatform/training-data-analyst
Mar 2020 - Dec 2021
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Role in this project:Data Scientist & ML Engineer
Data Scientist & ML EngineerContributions:20 reviews, 197 commits, 109 PRs in 1 year 9 months
Contributions summary:Doug's commits primarily focused on refactoring and enhancing the image classification solutions within the repository. They removed outdated Tensorboard instructions, suggesting a focus on maintaining the accuracy and usability of machine learning tools. Furthermore, they refactored code within the solution for the serving of baby weight predictions, indicating involvement in the model deployment and integration aspects of the project. The user has demonstrated skills related to model maintenance, deployment and enhancement within the deep learning model's ecosystem.
gcpgoogle-cloud-platformgoogle-cloudtraining
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