Rahul Shah

Software Development Engineer at Amazon

Bellevue, Washington, United States
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Summary

👤
Senior
🎓
Top School
Rahul Shah is a Software Development Engineer with 10 years of experience building production ML and backend systems, currently contributing to Amazon Alexa AI after earlier roles as a Machine Learning Engineer at Aunalytics and software engineer at Pindrop. He combines a strong academic record (MS in Computer Science, 4.0 GPA) with hands-on delivery of low-latency, scalable services—having accelerated search latency by two orders of magnitude and optimized ML models to reduce memory footprints. Comfortable across Python, Go, Kubernetes and cloud environments, he focuses on bridging feature engineering, prediction pipelines and reliable deployment. A problem-solver who enjoys algorithmic challenges and life-hack projects, Rahul brings both research-minded rigor and pragmatic engineering to applied ML and voice/AI systems.
code10 years of coding experience
job4 years of employment as a software developer
bookMaster’s Degree, Computer Science, 4.0/4.0, Master’s Degree, Computer Science, 4.0/4.0 at North Carolina State University
bookBachelor's Degree, Computer Engineering, Bachelor's Degree, Computer Engineering at University of Mumbai
languagesEnglish, Hindi, Gujarati
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Github Skills (58)

docker-run10
notebook10
docker10
jupyterhub10
jupyter10
bower10
rspec10
ipython10
jupyterlab10
jupyterlab-extension10
jupyter-widget10
binder10
jupyter-notebook10
foundation9
lifecycle9

Programming languages (4)

TypeScriptJavaScriptRubyPython

Github contributions (5)

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Run tagged cells extension
Contributions:34 commits, 2 PRs, 16 pushes in 6 months
taggedcells
rahulpshah/jupyterlab

Feb 2019 - May 2020

JupyterLab computational environment.
Contributions:4 PRs, 13 pushes, 6 branches in 1 year 2 months
pythonjupyterlab-extensionpyodidejupyter-notebookjupyterlab
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Rahul Shah - Software Development Engineer at Amazon