Takumi Ohyama
Machine Learning Engineer at Google
Dublin, Dublin 1, Ireland
Summary
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RockstarTakumi Ohyama is a Machine Learning Engineer with 11 years of experience, currently working at Google and based in Dublin. He focuses on taking ML projects from experimentation to production, with hands-on expertise in Vertex AI, Kubeflow pipelines, Cloud Build and BigQuery for scalable deployments. His open-source contributions to GoogleCloudPlatform/asl-ml-immersion show a practical emphasis on operationalizing ML workflows, automating batch predictions and streamlining cloud storage and pipeline configurations. Known for bridging research and engineering, he combines deep platform knowledge with a pragmatic approach to reproducible, cloud-native ML. Colleagues appreciate his knack for simplifying complex deployment subtleties into reliable, repeatable infrastructure.
11 years of coding experience
Github Skills (12)
machine-learning10
google-cloud-platform10
kubeflow-pipelines10
tensorflow10
automl10
python10
gcp10
bigquery9
container8
docker8
cicd8
containerization8
Programming languages (3)
Github contributions (5)
GoogleCloudPlatform/asl-ml-immersion
Sep 2021 - Jan 2023
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
Role in this project:
ML Engineer
ML EngineerContributions:3 releases, 237 reviews, 200 commits in 1 year 4 months
Contributions summary:Takumi appears to be focused on developing and improving the advanced solutions lab for ML Immersion. They are primarily making changes to the code, including modifying instructions related to Google Cloud Storage bucket names, and adapting variables and code for Cloud Build and Vertex AI, specifically related to Kubeflow pipelines and BigQuery operations. The user is also modifying and adjusting the structure and configuration of the AutoML batch prediction pipeline, indicating an emphasis on deployment and operation of ML models in a production environment.
pythondata-sciencegoogle-cloud-platformimmersionmachine-learning
takumiohym/training-data-analyst
Jun 2019 - Feb 2021
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Contributions:17 commits, 27 pushes, 6 branches in 1 year 7 months
gcpgoogle-cloud-platformgoogle-cloudtraining
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