# Pradipta Ghosh > AI Native Engineer at Meta | PostDoc @USC | PhD @USC | Networked Systems Reseacher Location: Fremont, California, United States Profile: https://flows.cv/pradipta Ph.D. in Computer Engineering with 3+ years of experience in developing large-scale distributed systems, system optimization research, and edge computing. Currently, working towards building large scale anomaly detection system to timely detect and root-cause site-wide anomalies. ## Work Experience ### Staff Engineer/Researcher @ Meta Jan 2026 – Present | Menlo Park, CA * Leading AI native solutions for Backend Infrastructure * Leading multiple projects on AI for reliability, Devx ### Sr. Optimization Research Scientist @ Meta Jan 2022 – Present | Menlo Park, California, United States * [AI Agents] Architected and led the deployment of AI Agentic solutions for advanced proactive identification and root cause analysis of failures across a large-scale, critical infrastructure environment. This initiative resulted in a 50% reduction in Mean Time To Mitigation (MTTM) and substantially increased overall service uptime. * [Traffic Telemetry Platform] Designed and deployed an Active Traffic Telemetry Platform to monitor Client-to-Edge availability for a substantial subset of Meta's "Family of Apps (FoA)" customers. This system provides real-time, actionable signals to infrastructure owners when customer reachability issues are detected. Crucially, the platform automatically root-causes and categorizes the issue, distinguishing between problems originating within the Meta infrastructure versus those arising from general Internet connectivity or upstream network conditions. * [Large Scale Anomaly Clustering] Led and delivered a large-scale anomaly detection program across 2M of monitored metrics/servers, successfully reducing on-call alert noise by ~40% and significantly improving the signal-to-noise ratio for engineering teams. ### Optimization Research Scientist @ Meta Jan 2021 – Jan 2022 | Menlo Park, CA * ML based Capacity Planning For Global CDN Network * Large Scale Anomaly Detection With Oncall Noise Reduction ### Postdoctoral Researcher @ University of Southern California Jan 2018 – Jan 2021 | Greater Los Angeles Area Lead researcher on a ARL funded project under Prof. Ramesh Govindan and Prof. Gaurav Sukhatme with a group of six researchers. Designed novel algorithms and systems for public camera localization and multi-camera complex activity detection; these works leverage deep learning, crowdsourcing, and geometric tools. Currently working on novel algorithms for scalable instant IoT network synthesis using constrained optimization techniques and point cloud registration for Infrastructure LiDAR sensing in autonomous driving. ### Research Assistant @ University of Southern California Jan 2012 – Jan 2018 | Greater Los Angeles Area Worked under Prof. Bhaskar Krishnamachari on novel communication protocols, localization algorithms, robotic controller, and embedded hardware design for wireless robotic networks and the Internet of Things. Other works involved end-to-end system design for dispersed edge computing, Kubernetes based Raspberry PI cluster design, distributed scheduling algorithm design, etc. ### Teaching Assistant @ Ming Hsieh Department of Electrical Engineering Jan 2014 – Jan 2018 Taught three different courses over seven semesters: -- Introduction to Embedded System -- Wireless and Mobile Networks Design and Laboratory -- Computer Networks ### Ming Hsieh Institute Scholar @ Ming Hsieh Department of Electrical Engineering Jan 2016 – Jan 2017 ### PHD Software Intern @ Cisco Jan 2015 – Jan 2015 Developed a new system architecture to integrate bare-metal servers with OpenStack for CISCO programmable fabric. This system was converted into a product later on. ### Summer Internship @ General Motors Jan 2013 – Jan 2013 | Warren, Michigan Research & Development on Vehicular Connectivity: Designed a computation offloading system to improve vehicular application performance ### Visiting Research Scholar @ Indian Institute of Science, Aerospace Engineering Department Jan 2011 – Jan 2011 | Bangalore, India ### Summer Research Intern @ IIT Kharagpur Jan 2010 – Jan 2010 | Kharagpur, WestBengal,India ## Education ### Doctor of Philosophy (PhD) in Electrical and Computer Engineering (Minor: Computer Science) University of Southern California ### Master's degree in Electrical and Electronics Engineering University of Southern California ### Bachelor of Engineering (BEng) in Electrical, Electronics and Communications Engineering Jadavpur University ## Contact & Social - LinkedIn: https://linkedin.com/in/pradipta-ghosh-38281287 - Portfolio: http://www.pradiptaghosh.com/ --- Source: https://flows.cv/pradipta JSON Resume: https://flows.cv/pradipta/resume.json Last updated: 2026-04-12