Elmer Garduno
Machine Learning Engineer at Apple
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolElmer Garduno is a machine learning engineer with 15 years of experience building and optimizing large-scale ML infrastructure and models, currently at Apple after a decade-plus tenure leading ML systems at Google. He has driven capacity allocation, TPU/GPU resource lifecycle management, and end-to-end language model quality efforts, blending applied research with production engineering. His background spans cloud AI, recommendations, cluster planning, and ML supercomputing, plus earlier work in big data NLP for healthcare and founding a social analytics startup. An active open-source contributor, he improved training, preprocessing, and deployment pipelines in GoogleCloudPlatform's Cloud ML samples (now Vertex AI), showing a knack for making research-ready models production-friendly. He also taught statistical learning and information retrieval, reflecting an ability to explain complex methods to diverse audiences. Based in the San Francisco Bay Area and holding an MSc from Carnegie Mellon, he combines academic rigor with hands-on systems engineering to optimize ML throughput and model quality.
15 years of coding experience
15 years of employment as a software developer
MSc Computational Data Science, MSc Computational Data Science at Carnegie Mellon UniversityBSc Telematics, BSc Telematics at Instituto Tecnológico Autónomo de México
Spanish, English
Stackoverflow
317reputation
61kreached
21answers
1question
Github Skills (23)
python10
gcloud10
machine-learning10
gcp10
data-preprocessing10
keras10
google-cloud-ml-engine10
tensorflow10
google-cloud-ml9
apache-beam8
sample-rate8
sample-data8
sample-size8
eclipse6
memory-management6
Programming languages (5)
Github contributions (5)
GoogleCloudPlatform/cloudml-samples
Dec 2016 - Jun 2018
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
Role in this project:
ML Engineer
ML EngineerContributions:18 commits, 5 PRs, 16 pushes in 1 year 6 months
Contributions summary:Elmer's commits primarily focus on modifying and improving machine learning models within the Google Cloud Platform's Cloud ML Engine. The commits show changes related to training scripts, model deployment, and preprocessing pipelines. The user made adjustments to various model training configurations, including model definitions and data preprocessing steps, indicating a focus on model optimization and integration with the Google Cloud ecosystem.
gcpcloudml-samplescloudmldeep-learninggooglecloudplatform
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