Arash Saeidpour
Machine Learning Engineer II at Amazon Web Services (AWS)
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolArash Saeidpour is a Machine Learning Engineer II with eight years of experience building scalable ML systems, now working at AWS after roles at Amazon teams and startups. He combines research-grade expertise from a PhD and postdoc—where he published PNAS work on time-series anomaly detection and applied interpretable ML and RL to epidemiology—with hands-on production experience in recommender systems and distributed pipelines. Proficient in MLOps tooling such as Tecton, Airflow, and Kubeflow, he designs end-to-end feature and model workflows that balance efficiency and observability. His background spans software engineering and R&D, including structural engineering software early in his career, which informs a pragmatic approach to robust system design. Based in Atlanta, he brings a rare blend of academic rigor and production-minded engineering to large-scale ML problems. Notably, he has applied SHAP and evolutionary control methods in real-world public-health modeling before transitioning to consumer and cloud-scale ML.
9 years of coding experience
8 years of employment as a software developer
Amirkabir University of TechnologyUniversity of GeorgiaBachelor of Science (B.Sc.) Civil Engineering, Bachelor of Science (B.Sc.) Civil Engineering at University of ZanjanAllameh Helli school
Github Skills (6)
shap7
shapley7
deep-learning6
machine-learning6
gradient-boosting6
machine-learning-models4
Programming languages (2)
Github contributions (5)
ArashSaeidpour/BridgePM
Oct 2018 - Nov 2019
Contributions:2 commits, 4 pushes, 1 branch in 1 year
ArashSaeidpour/arashsaeidpour.github.io
Dec 2019 - Jun 2021
Contributions:35 pushes, 1 branch in 1 year 6 months
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