Steven Anton
Sr. Applied Scientist at Amazon
Encinitas, California, United States
Summary
👤
Senior🎓
Top SchoolSteven Anton is a Senior Applied Scientist with 12 years of experience applying mathematical modeling, statistical analysis, and scalable engineering to large (TB+) datasets across industry and research. With a PhD in Physics from UC Berkeley, he moved from publishing novel experimental results on flux noise in qubits to building production ML and data systems at companies like Amazon, Brain Corp, and ID Analytics. He combines hands-on programming (Python, C/C++, MATLAB, R), big-data tooling (Hadoop/Spark, SQL/NoSQL, AWS), and visualization skills (D3, Tableau) to turn complex data into actionable products. Steven has led and mentored teams, recruited talent, and introduced TDD and automation practices while maintaining strong security discipline for sensitive data. Notably, his research background gave him a knack for teasing out subtle, confounding signals in noisy data—a skill he now applies to production-scale problems.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of California, BerkeleyB.S. Physics, B.S. Physics at University of DelawareSalesianum
English, Spanish
Github Skills (200)
probabilistic-programming10
language-model10
sagemaker10
automation10
k8s10
spark-ml10
hashicorp10
scheduler10
api10
vault10
nlp10
kerberos10
data-science10
apache10
amazon10
Programming languages (10)
Github contributions (5)
sdanalytics/sdanalytics.github.io
Jan 2015 - Nov 2015
Contributions:34 commits, 32 pushes, 1 branch in 9 months
stevenmanton/charts
Feb 2019 - Aug 2019
Curated applications for Kubernetes
Contributions:37 pushes, 7 branches in 5 months
k8skuberneteskubernetes-dashboard
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