* Leading AI native solutions for Backend Infrastructure

* Leading multiple projects on AI for reliability, Devx

* [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.

* ML based Capacity Planning For Global CDN Network

* Large Scale Anomaly Detection With Oncall Noise Reduction

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.

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.