Summary
Sathvik Prasad is a research scientist with 11 years of experience who designs ML and NLP systems to detect and characterize fraudulent robocalls, blending security and privacy research with practical data-driven engineering. He leverages statistical techniques across diverse data types—audio, text, network traffic, source code and document fingerprints—to uncover patterns of spam, abuse and fraud. Based in the Greater Seattle Area, he carries academic rigor from a PhD at North Carolina State University and an engineering degree from R.V. College of Engineering. Known for turning messy, multi-modal signals into actionable detection tools, he combines research depth with production-minded implementation. Outside standard pipelines, he often explores novel feature representations and cross-source correlations that reveal non-obvious indicators of abuse.
11 years of coding experience
Bachelor of Engineering (B.E.), Bachelor of Engineering (B.E.) at R. V. College of Engineering, Bangalore
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at North Carolina State University