Brad Miro
Senior Developer Advocate
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolBrad Miro is a Senior Developer Advocate at Google with nine years of hands-on experience building and advocating for data and AI solutions, particularly around Apache Spark and Google Cloud Dataproc. He blends developer relations with deep engineering chops, contributing cross-language samples and init scripts for GCP (Node.js, Python, Go, Java) that make complex services like Vision, AutoML, Firestore, and GPU-accelerated Dataproc workflows easier to adopt. Previously a machine learning engineer and data infrastructure developer, he has production experience designing ETL pipelines, Airflow workflows, and distributed training setups (Horovod, RAPIDS, Dask). Based in New York, he’s known for turning advanced cloud features into practical examples and CLI-friendly quickstarts that materially improve developer onboarding. He holds a mathematics degree with minors in computer science and business, and co-founded internal learning groups (like a Deep Learning Book Club) that reflect his emphasis on community-driven learning.
9 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Mathematics minors in Computer Science/Business Administration, Bachelor’s Degree Mathematics minors in Computer Science/Business Administration at SUNY New Paltz
English
Stackoverflow
251reputation
27kreached
7answers
2questions
Github Skills (49)
google-cloud-firestore10
google-cloud-platform10
javascript10
spark10
google-cloud-dataproc10
python10
apidoc10
data-engineering10
testing10
sample-size10
java10
gcp10
dataproc10
sample-rate10
javas10
Programming languages (10)
Github contributions (5)
GoogleCloudDataproc/initialization-actions
Jun 2019 - Jul 2022
Run in all nodes of your cluster before the cluster starts - lets you customize your cluster
Role in this project:
MLOps Engineer & Data Engineer
MLOps Engineer & Data EngineerContributions:87 reviews, 29 commits, 49 PRs in 3 years 1 month
Contributions summary:Brad primarily focused on creating and modifying initialization actions for Google Cloud Dataproc clusters. Their contributions included adding support for Spark NLP and the Spark BigQuery Connector, installing GPU drivers, and setting up Horovod for distributed training. The user demonstrated expertise in integrating machine learning libraries and tools within the Dataproc environment. They also configured Dask and RAPIDS for GPU-accelerated data processing.
nodesgoogle-cloud-dataprockubernetescustomizeterraform
GoogleCloudPlatform/golang-samples
Jan 2020 - Apr 2021
Sample apps and code written for Google Cloud in the Go programming language.
Role in this project:Backend Developer
Backend DeveloperContributions:12 reviews, 12 commits, 10 PRs in 1 year 3 months
Contributions summary:Brad primarily contributed to the Cloud Dataproc samples in the Go programming language. Their work involved creating new samples, updating existing ones, and refactoring code for improved functionality. They added quickstart examples to showcase core functionality of the Dataproc API, as well as samples for job submission and workflow template instantiation. Additionally, the user addressed bug fixes and made improvements to code formatting and documentation.
gogoogle-cloudprogramming-languagegolangappengine
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