Yannick Kimmel
Applied Science Manager at Amazon
New York, New York, United States
Summary
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Senior🎓
Top SchoolYannick Kimmel is an applied science manager and machine learning practitioner with a decade of experience building production personalization, contextual multi-arm bandit systems, and recommendation/search ranking pipelines at Amazon and Hired. He combines industrial ML delivery with a strong academic foundation—a PhD in chemical engineering and 10 peer-reviewed publications cited over 1,000 times—bringing rigorous experimental design and statistical thinking to large-scale product problems. His background spans time-series and anomaly detection at Bloomberg, ETL and feature engineering for marketplace recommendations, and hands-on leadership of core personalization and content ranking teams. Known for translating complex research into robust pipelines, he also brings domain depth from earlier process engineering work that led to a patent, reflecting a knack for practical innovation.
10 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (PhD) Chemical Engineering, Doctor of Philosophy (PhD) Chemical Engineering at University of DelawareBachelor of Science (BS) (High Honors) Chemical Engineering, Bachelor of Science (BS) (High Honors) Chemical Engineering at University of VirginiaGithub contributions (5)
Yankim/fastai-v3
Mar 2019 - Mar 2019
Starter app for fastai v3 model deployment on Render
Contributions:3 pushes in 1 day
renderpythondeploymentmodel-deploymentfastai-v3
nycdatasci/bootcamp005_project
Apr 2016 - Jun 2016
Contributions:20 commits, 18 pushes in 2 months
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