_____ __ __ __ __ _   / ___/__ ___ _________ _/ / / / / /__ _______ / /_(_)  / (_ / _ `/ // / __/ _ `/ _ \ / /_/ / _ \/ __/ -_) __/ /  \___/\_,_/\_,_/_/ \_,_/_.__/ \____/ .__/_/ \__/\__/_/   /_/  ┌───────────────────────────────────────────────────────────┐ │ Gaurab Upreti │ │ Software Engineer, DevOps │ └───────────────────────────────────────────────────────────┘ Professional Experience ────────────────────────────────────────────────────────────── ┌ LEAPFROG TECHNOLOGY, INC. ────────────────────────────────── │ Software Engineer, DevOps │ Feb 2024 – Present │ ├─────────────────────────────────────────────────────────────┤ │ • Designed scalable AWS infra using Terraform with │ │ reusable modules for multi-environment deployments. │ │ • Deployed containerized workloads on Kubernetes, ECS, │ │ and Docker Swarm with HA and auto-scaling. │ │ • Built CI/CD pipelines (GitHub Actions, Bitbucket │ │ Pipelines, Jenkins) for fast, reliable releases. │ │ • Implemented GitOps for version-controlled, auditable │ │ infrastructure and automated provisioning. │ │ • Engineered HA systems with auto-scaling, health checks, │ │ and rollback mechanisms for reliability. │ │ • Strengthened security via IAM least privilege, network │ │ controls, encryption, and secrets management. │ │ • Supported compliance/audit readiness with structured │ │ logging, access controls, and tagging strategies. │ │ • Implemented observability with ELK Stack, Prometheus, │ │ Grafana, and Zabbix for monitoring and alerting. │ │ • Led incident troubleshooting and root cause analysis. │ │ • Optimized AWS costs via usage analysis, right-sizing, │ │ and tag-based cost allocation. │ │ • Built internal tools: AWS cost dashboard and AD user │ │ management system. │ │ • Managed multi-account AWS with Organizations and SSO. │ │ • Supported AI/ML infra including deployment, monitoring, │ │ and cost optimization of GenAI applications. │ │ • Built a RAG-based GenAI solution to analyze CloudWatch │ │ logs and generate operational insights. │ │ • Worked with AWS Bedrock and SageMaker for model │ │ inference and ML lifecycle workflows. │ │ • Deployed AI apps on Azure using Azure AI services. │ │ • Collaborated with teams to improve deployment workflows │ │ and production readiness. │ └─────────────────────────────────────────────────────────────┘ ┌ NAXA ─────────────────────────────────────────────────────── │ DevOps Intern │ Sep 2023 – Dec 2023 │ ├─────────────────────────────────────────────────────────────┤ │ • Created CI/CD pipelines using GitHub Actions and Jenkins │ │ for multi-service applications. │ │ • Built Docker images and containerized backend + frontend │ │ applications. │ │ • Used Nginx for reverse proxying and load balancing. │ │ • Managed DNS configurations using Cloudflare. │ │ • Ran Linux server operations and performed server-level │ │ troubleshooting. │ └─────────────────────────────────────────────────────────────┘ Skills ────────────────────────────────────────────────────────────── • Language : Python • Database & Caching : PostgreSQL, Redis • Containers & Orchestration : Docker, Kubernetes • Cloud - AWS : EC2, VPC, IAM, RDS, S3, ECS, Lambda, SageMaker, Bedrock • Cloud - Azure : VM, App Service, Blob, VNets • IaC & Automation : Terraform, CloudFormation, Ansible, Packer, Bash • CI/CD & GitOps : GitHub Actions, Bitbucket Pipelines, Jenkins, GitOps • Monitoring & Logging : CloudWatch, Prometheus, Grafana, Zabbix • Security & Compliance : IAM least-privilege, encryption (at rest & in transit), secrets mgmt, audit logging, PCI-DSS and SOC 2 awareness Education ────────────────────────────────────────────────────────────── Bachelor in Information Technology Texas College of Mgmt. & IT, Lincoln University (2019 – 2023) Certifications ────────────────────────────────────────────────────────────── • ☁  AWS Certified Solutions Architect - Associate (SAA-C03) • ☁  AWS Certified Cloud Practitioner (CLF-C02) • ⬡  Microsoft Azure Fundamentals (AZ-900)