- Automated assessment/escalation of cloud and network security incidents within Amazon Go, Styles, and Fresh store infrastructure, reducing mean time to triage by 70%- Built pipeline for tracking + resolution of critical store devices exhibiting anomalous activity within 3P and Whole Foods infrastructure.

- Integrated agentless and microsegmentation based zero trust network security systems into full AWS product pipeline for real-time customer network traffic analysis and malware threat detection.- Designed and implemented network communication anomaly detection algorithm for rapid detection of ransomware lateral propagation within compromised customer systems.- Significantly reduced operating costs through development of batching algorithm, parallelizing and combining network analysis workloads for AWS computation.

- Developed Hidden Markov Models for 5G wireless network for monitoring quality of service (QoS) and automated trouble shooting.- Worked with TensorFlow probability framework to achieve changepoint detection in wireless 5G networks for identifying network failures and underutilization, ensuring service level guarantees and QoS for customer.