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sahil User

@sahiluser31

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Software Engineer at Cisco building cloud observability and AI troubleshooting tools for cloud-native platforms.

United States

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At Cisco, I build features and CI/CD pipelines for the unified Security Cloud Gateway, and develop observability tools for 5G and Kubernetes environments. I also built Python-based AI troubleshooting tools that analyze cluster logs and status to speed up incident triage.

At Samsung Electronics, I architected a Java URL-shortening service and built an IoT event-forwarding pipeline for SmartThings. I improved microservice observability with Datadog and integrated LaunchDarkly feature flags to support controlled rollouts.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

Cisco Systems

Jun 2024 - Present (2 years 4 months)

Develops and maintains features and CI/CD pipelines for Cisco's unified Security Cloud Gateway, driving API standardization and building observability tooling for cloud-native environments. Contributed to deployment validation for the Paris 2024 Olympics and developed internal AI troubleshooting tools.

Java Spring Boot gRPC Python C Linux Lua Kubernetes CI CD Datadog Prometheus Lang Chain LLM Enabled Tooling IoT Cloud Native API governance Telemetry Alerting Log Collection AI Assisted Troubleshooting

Software Engineering Intern

Cisco Systems

Nov 2023 - Apr 2024 (5 months)

Contributed to migrating Infrastructure-as-Code for Cisco's Cloud-Native Firewall from AWS CloudFormation to AWS CDK in Go, and presented the benefits of the imperative paradigm to the team.

Go CloudFormation AWS CDK Infrastructure as Code Cloud Native Firewalls

Software Engineer

Samsung Electronics

May 2020 - Jun 2022 (2 years 1 month)

Architected a scalable URL-shortening service on AWS, enhanced microservices observability, and owned critical microservices end-to-end. Integrated feature flagging to reduce deployment frequency and rollback incidents, and designed an IoT event-forwarding pipeline for SmartThings users.