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@pmsa

Principal Engineer at Uber improving core infrastructure reliability with an AI agent that resolves 40% of incidents without escalation.

United States
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At Uber, I’m improving core infrastructure reliability and developing AIOps for diagnosing and troubleshooting network issues. I built a LangChain-based AI agent with runbooks for context collection; it handles 40% of incidents without escalation and has reduced RCA time from days to minutes.

I led the implementation of Cilium CNI for production workloads across cloud and on-premises Kubernetes clusters, supporting 256K nodes and 1.2M pods. I also delivered RDMA-enabled GCP VPC infrastructure for NVIDIA B200 AI/ML workload clusters.

At Cisco, I co-architected SDWAN multi-cloud networking solutions connecting enterprise sites and data centers to AWS, Azure, and GCP. Earlier, at VMware, I delivered secure messaging for NSX-T and developed a Kafka-based real-time data ingestion pipeline for NSX Intelligence.

Experience

Work history, roles, and key accomplishments

Cisco Systems logoCS

Principal Engineer, Multi-cloud Networking Solutions

Nov 2019 - Nov 2023 (4 years)

Provided technical leadership for multi-cloud networking solutions, defining and proposing CloudWAN Tunnel-Less Connect to AWS. Co-architected and delivered SDWAN multi-cloud networking solutions for AWS, GCP, and Azure, including firewall insertion and service directory support.

Education

Degrees, certifications, and relevant coursework

DE

Delhi College of Engineering

Bachelor of Engineering, Computer Engineering

Bachelor of Engineering in Computer Engineering from Delhi College of Engineering, Delhi, India.

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