Rishikanth Chandrasekaran

Applied Researcher at eBay

Bellevue, Washington, United States
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Summary

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Rishikanth Chandrasekaran is an Applied Researcher at eBay with 11 years of experience building and deploying machine learning systems, currently focused on foundation models for fraud detection. He holds a PhD in Computer Science from UC San Diego and has blended academic rigour with industry impact through research roles at Arm, Huawei, and Columbia, where he developed lightweight, robust sensing and security models. His work spans practical on-device solutions—such as a time-domain stair-walking detector integrated into Huawei's Android framework—to hardware-aware ML for detecting malicious program behavior and defenses against data poisoning. Based in Bellevue, WA, he combines deep learning, security-minded research, and systems integration to turn novel algorithms into production-ready capabilities.
code11 years of coding experience
job1 year of employment as a software developer
bookPadma Sheshadri Bala Bhavan Senior Secondary School
bookUniversity of California, San Diego
bookBachelor of Engineering (BEng), Electrical and Electronics Engineering, Bachelor of Engineering (BEng), Electrical and Electronics Engineering at Sri Venkateswara College of Engineering, Anna University
bookMaster of Science (M.S.), Computer Engineering, Master of Science (M.S.), Computer Engineering at Columbia Engineering
languagesTamil, English
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Stackoverflow

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Github Skills (96)

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transcription10
audio10
pipeline9
ai9
continuous-delivery8
python8
docker8
cicd8
artificial-intelligence8
continuous-deployment8
webapp7
deep-learning7
helm7
devops7

Programming languages (12)

SmartyTypeScriptRustCJavaScriptGoMustachePHP

Github contributions (5)

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rishikanthc/Scriberr

Oct 2024 - Mar 2025

Self-hosted AI audio transcription
Contributions:5 releases, 7 reviews, 18 PRs in 5 months
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rishikanthc/helm-charts

Sep 2023 - Feb 2025

Contributions:678 pushes in 1 year 5 months
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Rishikanth Chandrasekaran - Applied Researcher at eBay