Prasad Shende

Software Engineer at Amazon

Seattle, Washington, United States
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Summary

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Rockstar
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Top School
Prasad Shende is a software engineer with 10 years’ experience building scalable cloud and data-driven systems, currently contributing at Amazon from Seattle. He blends software engineering and data science expertise developed across roles at IBM and multiple startups, delivering production ML pipelines, real-time streaming solutions, and RESTful services. Notable past work includes boosting an IBM news-classification system’s accuracy by over 50% using TF-IDF and BiLSTM models, and architecting Spark-Kafka streaming for power-grid telemetry. Comfortable across Java, Python, Spark, Kubernetes and front-end tooling, he pairs hands-on implementation with product-focused design and A/B testing. Always learning and coding, he brings a track record of turning research prototypes into deployed features that improve decision-making for sales and operations teams.
code9 years of coding experience
job2 years of employment as a software developer
bookMaster of Science - MS, Master of Science - MS at North Carolina State University
bookBachelor of Engineering (B.E.), Bachelor of Engineering (B.E.) at Pune Institute of Computer Technology
languagesEnglish, Hindi, Marathi
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Stackoverflow

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Github Skills (31)

kubernetes10
packer10
aws10
feature-selection9
user-guide9
feature-engineering9
aiml9
parameter-tuning9
genetic9
amazon9
random-forest9
automated-machine-learning8
genetic-programming8
amazon-eks8
machine-learning7

Programming languages (3)

JavaShellPython

Github contributions (5)

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prasad0896/leetcode-problems

Jul 2019 - Nov 2019

Contributions:9 pushes, 1 branch in 3 months
The open source version of the Amazon EKS user guide. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.
Contributions:3 pushes in 5 months
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