AWS Cloud Engineer(Team Lead) at F13 Technologies | Results-driven DevOps Engineer with expertise in enterprise cloud infrastructure, microservices orchestration, and CI/CD automation. Currently pursuing B.Tech in Computer Science Engineering (2022 - Present) at ITER, SOA University while leading production-grade AWS serverless application deployments.
- 🔭 Currently Working On: Production-grade serverless applications
- 🌱 Learning: Advanced AWS services, Generative AI integration, Cloud-native architecture patterns
- 👯 Looking to Collaborate: Open source DevOps tools, serverless projects, and AI/ML integrations
- 📫 How to Reach Me: [email protected]
| 🎯 Metric | 📊 Achievement |
|---|---|
| Team Leadership | Led 4 engineers, 40% velocity improvement |
| AWS Certifications | 6 certifications in first month |
| Deployment Speed | 85% reduction in deployment time |
| System Uptime | 99.9% for production applications |
| Cost Optimization | 50%+ infrastructure cost savings |
| API Performance | Sub-300ms response times |
| Automation Impact | 95% reduction in manual screening |
| Certification | Issued | Badge |
|---|---|---|
| AWS Cloud Economics | Oct 2025 | ✅ |
| AWS Technical Essentials | Oct 2025 | ✅ |
| AWS Containers (Technical) | Oct 2025 | ✅ |
| AWS Digital Sovereignty | Oct 2025 | ✅ |
| AWS Migration Essentials | Oct 2025 | ✅ |
| AWS Generative AI Essentials | Oct 2025 | ✅ |
Sep 2024 - Present | Remote
- 👨💼 Led a cross-functional team of 4 engineers in building and deploying scalable AWS serverless solutions, improving overall team delivery and coordination through effective sprint planning and task delegation.
- 🤖 Designed and implemented high-volume, event-driven processing workflows using AWS Lambda, API Gateway, S3, DynamoDB, and SQS, achieving high accuracy, reduced manual effort, and significant operational cost savings.
- ☁️ Built secure backend components with authentication, encryption standards, and best practices for cloud data handling, maintaining low-latency APIs (<200ms) and reliable uptime (99.9%).
- 📚 Strengthened cloud engineering expertise through hands-on work and advanced training across domains such as cloud architecture, containerization, migrations, cost optimization, governance, and generative AI on AWS.
- 🔧 Delivered Infrastructure as Code (IaC) solutions using CloudFormation and established CI/CD pipelines with automated testing and security checks, enabling frequent and stable production deployments.
- 🔬 Exploring: AI-powered DevOps automation and serverless architectures
- 🌟 Building: Next-generation cloud-native solutions with integrated AI workflows
- 🤝 Seeking: Opportunities to combine technical expertise with business impact
- 📚 Learning: Advanced AWS services, Kubernetes patterns, and event-driven architectures
Cloud & DevOps: AWS (Lambda, S3, EKS, EC2, DynamoDB, Textract, Cognito, CloudFormation, API Gateway, VPC, IAM), Azure DevOps, Docker, Kubernetes (Deployments, Services, Ingress, HPA, PVC, ConfigMaps, Secrets), Terraform, ArgoCD, Jenkins, GitHub Actions, Helm, Ansible
Infrastructure & Networking: Linux Administration (Ubuntu, Amazon Linux), VPC, Subnets, Security Groups, NAT Gateway, Route Tables, Load Balancers
Programming: Python (Flask, Lambda), JavaScript, Shell Scripting (Bash), Java, C++
Tools & Practices: Git, CI/CD, GitOps, Infrastructure as Code, FinOps, SonarQube, Trivy, Prometheus, Grafana
