Headline

Cloud & DevOps | AWS · Azure · Terraform · Docker · CI/CD · GitHub Actions | 4x Oracle Cloud Certified · Microsoft AZ-900 & AI-900 | Building self-healing infra & automating deployments | LPU ’27

About

Final-year B.Tech CSE at LPU, Cloud Computing minor. Focus areas: cloud infrastructure, DevOps, and SRE practices. Graduating May 2027. Certifications: Oracle Cloud Infrastructure — DevOps Professional, Observability Professional, Multicloud Architect Professional, Generative AI Professional (4x, 2025). Microsoft Certified — Azure Fundamentals (AZ-900), Azure AI Fundamentals (AI-900). Ranked Top 500 Globally in Oracle's Race to Certification 2025. Experience: Infosys Springboard — AI Intern, Cloud Deployment Lead (Feb–Mar 2026). Led cloud deployment for a 25-member cohort building a BFSI-sector AI KYC system under Agile methodology. Evaluated SageMaker, Lambda, and EC2 for the ML service and selected EC2 for cost efficiency and deployment control. Managed Git workflow and access across the cohort, resolved deployment-stage issues including CORS mismatches and IAM permission errors. Projects: — Observability pipeline on AWS ECS Fargate: Prometheus metrics scraping, Grafana dashboards (HTTP requests, request rate, active time series), alert rule for real-time threshold detection, full stack provisioned via Terraform. — GitOps CI/CD pipeline: FastAPI service generating test suites via Groq's LLaMA 3.1, Jenkins pipeline with 70% coverage gate, Docker image tagging by build number and commit SHA, ArgoCD auto-sync to Kubernetes via Helm. — Self-healing AWS microservice: four-layer failure recovery (health checks, ALB traffic isolation, ASG instance replacement), multi-AZ VPC and load balancer via Terraform, CPU-based auto-scaling between 2–4 instances, GitHub Actions CI with Snyk vulnerability scanning. AI-assisted development: Claude Code, Cursor, GitHub Copilot. Currently: Learning Kubernetes(EKS, AKS), Helm, and observability tooling.

Location

Hyderabad

AI stack

claude code

claude

hermes agent

perplexity

claudecode

hermesagent

Work experience

AI Intern-Cloud Deployment Lead at Infosys Springboard, Feb 2026 - Apr 2026 · 3 mos, Remote, Led cloud deployment for a 25-member cohort (AI/ML, full-stack, and cloud sub-teams) building a BFSI-sector AI KYC verification system, following Agile methodology with sprint planning, daily standups, and retrospectives. Evaluated SageMaker and Lambda against EC2 for the ML inference service, selecting EC2 for cost efficiency, no cold-start overhead, and full deployment control; deployed React/Vite frontend to S3 and Flask ML service to EC2. Managed Git workflow and repository access across the cohort, resolving deployment-stage issues — CORS origin mismatches, localhost-to-EC2-IP reconfiguration, PM2 process management, IAM permission errors — to keep the pipeline stable. Tech: Python, Flask, React/Vite, Node.js, AWS (EC2, S3, IAM), Git, Agile

Education

Bachelor of Technology - BTech, Computer Science, Lovely Professional University

Intermediate, Maths Physics Chemistry, Keshav Smarak Junior College

Public links

github: https://github.com/sannidhisriram-06

sannidhisriram-06.github.io: https://sannidhisriram-06.github.io/