Summary
Sudershan Boovaraghavan is a Ph.D. graduate student and interdisciplinary systems researcher at Carnegie Mellon University with 12 years of experience designing and deploying large-scale IoT and edge learning systems. He leads Mites, a campus-wide ubiquitous sensing platform that deployed over 300 custom multi-sensor devices and supports diverse activity-detection applications, and built MLIoT to automate the ML lifecycle for heterogeneous IoT deployments. His work bridges hardware, firmware, backend services, and collaborative edge learning—improving privacy and per-device model performance without cloud reliance. Previously he developed widely used CMU IoT stacks like GioTTO and built distributed middleware for sensor data sharing, demonstrating strength in moving research into operational testbeds. Based in Pittsburgh, he combines deep systems engineering with societal computing research to create practical, scalable sensing infrastructure.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at SRM University
Doctor of Philosophy - PhD, Societal Computing, Computer Science, Doctor of Philosophy - PhD, Societal Computing, Computer Science at Carnegie Mellon University
Junior College, Computer Science, Junior College, Computer Science at SBOA School and Junior College
German, Tamil, Telugu, Hindi, English