I am a DevOps Engineer focused on building scalable, secure, and automated cloud systems. I work across AWS, Docker, Kubernetes, Terraform, GitHub Actions, and DevSecOps tooling to improve delivery speed, reliability, and security posture across the full software lifecycle.
- Reduced deployment time by 30% through CI/CD pipeline automation
- Cut manual monitoring effort by 40% using Bash scripting and CloudWatch dashboards
- Implemented end-to-end security scanning with Gitleaks, Trivy, and tfsec
- Built production-grade Go microservices with gRPC, Redis cache, and AI integration
- Hands-on with AWS infrastructure, containerisation, and production observability
- Passionate about zero-downtime deployments, GitOps, and cloud reliability
| Metric | Result | How |
|---|---|---|
| Deployment speed | 30% faster | CI/CD pipeline with GitHub Actions |
| Manual monitoring | 40% reduction | Bash automation + CloudWatch dashboards |
| Pipeline uptime | 99.8% | Rolling updates and canary rollout strategy |
| Security coverage | End-to-end | Gitleaks · Trivy · tfsec · GuardDuty · OWASP |
| API response time | <50ms | Redis cache-aside with write-through invalidation |
Cloud & Infrastructure
AWS EC2 S3 IAM VPC RDS Lambda ECS Route53 CloudFront CloudWatch SNS GuardDuty CloudTrail Azure Fundamentals
CI/CD & Infrastructure as Code
GitHub Actions Terraform Jenkins CloudFormation GitOps
Containers & Orchestration
Docker Docker Compose Kubernetes Helm Multi-stage Builds
Backend & Distributed Systems
Go (Golang) gRPC Protocol Buffers REST APIs JWT Auth API Gateway Microservices
Databases & Cache
PostgreSQL MongoDB Redis Polyglot Persistence Redis Pub/Sub
AI & ML Integration
Anthropic Claude API Agentic AI Structured Output Prompting Clinical Decision Support
DevSecOps
Gitleaks Trivy tfsec Dependabot npm audit AWS GuardDuty OWASP Basics
Monitoring & Observability
Prometheus Grafana CloudWatch Logging & Alerting Incident Response Zap Structured Logs
Frontend
React TypeScript Vite Zustand TanStack Query
Core Tools
Bash Linux Python Git YAML
Present Remote / India
- Working as a DevOps Engineer responsible for designing and maintaining cloud infrastructure, CI/CD pipelines, and deployment automation
- Managing containerised workloads using Docker and Kubernetes with focus on scalability and high availability
- Implementing infrastructure-as-code practices using Terraform for reproducible, auditable cloud environments
- Collaborating with development teams to streamline delivery workflows and reduce time-to-production
July 2025 – Dec 2025 Pune, India
- Deployed a student registration application using Docker containers on AWS EC2/S3 with canary rollout and rollback strategies, minimising deployment risk in production
- Automated daily cloud health checks using Bash scripts and CloudWatch dashboards, reducing manual monitoring effort by 40%
- Provisioned and configured AWS resources including EC2, S3, IAM roles, and VPC security groups with least-privilege access principles
- Authored runbooks, deployment SOPs, and incident response checklists, improving team response time and reducing knowledge silos
Go gRPC Protocol Buffers React TypeScript PostgreSQL MongoDB Redis Claude AI JWT
A production-grade, AI-powered hospital management platform built with 5 independent Go microservices communicating over gRPC. Features a Claude AI diagnostic engine for real-time symptom analysis, drug interaction checking, and risk scoring. Backed by PostgreSQL (patient records), MongoDB (appointments + analytics events), and Redis (15-minute cache-aside layer + pub/sub for real-time notifications via SSE). Secured by a JWT-authenticated API gateway with token-bucket rate limiting and reverse proxy routing. Paired with a dark-themed React/TypeScript clinical dashboard.
Architecture highlights:
- 5 bounded-context microservices — Patient · Appointment · AI Diagnostic · Notification · Analytics
- gRPC with
.protocontracts for type-safe inter-service communication - Polyglot persistence — PostgreSQL + MongoDB + Redis in a single platform
- Redis fail-open cache — outage degrades performance, never availability
- Agentic AI chat with emergency escalation detection powered by Claude
- Real-time SSE push notifications via Redis pub/sub channels
Go Gin React PostgreSQL Redis JWT Docker Docker Compose
A production-ready microservice starter kit for DevOps learners and backend engineers. Go (Gin) REST API with JWT authentication, Redis caching, and PostgreSQL — paired with a React frontend. Fully containerised with Docker Compose for one-command local setup. Designed as a clean, extensible foundation for teams building new microservices without starting from scratch.
Architecture highlights:
- Go Gin REST API with structured routing and middleware chain
- JWT auth with refresh token rotation
- Redis cache layer with TTL-based invalidation
- PostgreSQL with connection pooling and migration support
- Docker Compose multi-service orchestration with health checks
- React frontend with Axios interceptors and protected routes
B.Tech — Computer Science and Engineering UIT RGPV Shivpuri, Madhya Pradesh · 2022 – 2026 · CGPA: 7.00 / 10.0
| Certification / Achievement | Status |
|---|---|
| AWS Cloud Practitioner Essentials | Completed |
| AWS CLF-C02 | Preparing |
| HashiCorp Terraform Associate | Preparing |
| Docker & Kubernetes: The Complete Guide | Completed |
| Vice President — Technoverse Tech Club | Leadership |
| Coordinator — codeManthan 2025 | Event Lead |
| Cybersecurity Hackathon | Participant |
"Automating infrastructure, securing delivery, and building reliable systems — one service at a time."