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.
11 years of coding experience
1 year of employment as a software developer
Padma Sheshadri Bala Bhavan Senior Secondary School
University of California, San Diego
Bachelor of Engineering (BEng), Electrical and Electronics Engineering, Bachelor of Engineering (BEng), Electrical and Electronics Engineering at Sri Venkateswara College of Engineering, Anna University
Master of Science (M.S.), Computer Engineering, Master of Science (M.S.), Computer Engineering at Columbia Engineering
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Rishikanth Chandrasekaran - Applied Researcher at eBay