Pradipta Ghosh is a Staff Engineer and researcher with a Ph.D. in Computer Engineering and a decade of experience building large-scale distributed systems, edge computing platforms, and system optimization research. Based in Fremont, CA and currently leading AI-native backend infrastructure and reliability projects at Meta, he has architected AI agentic solutions and telemetry platforms that halved MTTM and reduced on-call alert noise by ~40%. His work spans production ML for capacity planning, massive anomaly clustering across millions of metrics, and proactive root-cause automation for Meta’s Family of Apps. Earlier academic work blends deep learning, geometric methods, and constrained optimization for camera localization, IoT synthesis, and LiDAR-based sensing—skills he leverages to bridge research and production. Known for turning prototype research into product-grade systems (including designs later shipped at Cisco), he combines rigorous academic training with pragmatic engineering at internet scale.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical and Computer Engineering (Minor: Computer Science), Doctor of Philosophy (PhD), Electrical and Computer Engineering (Minor: Computer Science) at University of Southern California
Bachelor of Engineering (BEng), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (BEng), Electrical, Electronics and Communications Engineering at Jadavpur University
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Pradipta Ghosh - Staff Engineer Researcher at Meta