Rahul Thakur

Machine Learning Engineer

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Summary

👤
Senior
Rahul Thakur is a cloud-focused Lead Member of Technical Staff with 9 years of experience building scalable, cost-efficient infrastructure and data platforms across Salesforce, Amazon, Informatica, and Capgemini. He has led production deployments of Apache Druid on AWS EKS, designed multi-tenant S3 and multi-cell sharding architectures, and drove a $1M annual savings through UltraWarm warm storage design. At Amazon he shipped media-processing services for Alexa, cloud asset management, and device-aware features like motion-detected power optimization, reflecting a strong product-to-infra mindset. Trained at IIT Roorkee, he blends deep systems and database expertise with automation and microservices design, and maintains interests in machine learning, Python, and chatbots that inform practical ML-enabled tooling. Notably, he combines low-level performance tuning experience with large-scale operational resilience work, making him effective at both optimization and platform-level architecture.
code9 years of coding experience
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Github Skills (74)

javascript10
nodejs10
css10
math10
react10
certification9
bug-reporting9
codebase9
jquery8
latex8
caesar-cipher8
angularjs8
solve8
hamlet7
swift7

Programming languages (7)

TypeScriptC++JavaScriptHTMLJupyter NotebookRubyPython

Github contributions (5)

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Contributions:25 commits, 20 pushes, 1 branch in 6 months
Contributions:12 pushes, 2 branches in 2 years 1 month
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