Adler Santos
Engineering Lead, Google Cloud Datasets
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAdler Santos is an engineering lead with 13 years of experience building data-intensive systems, currently leading Google Cloud Datasets work on AI data quality, generation, and infrastructure for Gemini. He combines deep technical roots in Python, cloud-native architectures, and ML pipelines with hands-on leadership gained from roles at SkyWatch and several data-driven startups. Adler has shipped production platforms for satellite and e-commerce data, architecting serverless, Spark, and Kubeflow solutions that scale to large, heterogeneous datasets. His background in theoretical and mathematical physics informs a rigorous, measurement-driven approach to data quality and modeling. Known for moving research-grade techniques into reliable production, he bridges product, research, and engineering to make complex datasets usable for ML. Based in Los Angeles, he brings both startup grit and Google-scale engineering discipline to dataset tooling and infrastructure.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Theoretical and Mathematical Physics, Bachelor of Science (B.S.), Theoretical and Mathematical Physics at Ateneo de Manila University
Stackoverflow
395reputation
39kreached
4answers
15questions
Github Skills (133)
google-cloud-platform10
dataflow10
python10
gcp10
datasets10
data-ingestion10
etl10
ruby10
data-lineage10
automation10
mlops10
google-cloud10
orchestration10
cloud-native10
architecture10
Programming languages (9)
Github contributions (5)
adlersantos/fnsh
Sep 2013 - Feb 2014
Contributions:136 commits in 5 months
GoogleCloudPlatform/public-datasets-pipelines
Apr 2021 - Dec 2022
Cloud-native, data onboarding architecture for Google Cloud Datasets
Contributions:354 reviews, 159 commits, 369 PRs in 1 year 8 months
gcponboardinggoogle-cloud-platformdata-cataloggoogle-cloud
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