R Aswin

AWS Certified Cloud Engineer

I design, deploy, and troubleshoot Well-Architected AWS solutions—from serverless applications to high-availability systems—engineered for security, scalability, performance, and cost efficiency.

Hands-on experience with EC2, VPC, IAM, Load Balancers, Auto Scaling, CloudWatch, and application performance troubleshooting.

AWS Certified Solutions Architect Associate

Certified 2026

3+

Cloud Projects

AWS

SAA Certified

CSE

B.Tech @ SRMIST

About Me

Who I Am

I'm R Aswin, a 3rd-year Computer Science student at SRM Institute of Science and Technology with a deep passion for cloud technologies and infrastructure design.

With hands-on experience in Cloud Computing, Serverless Architectures, and DevOps, I specialize in bridging the gap between development and operations through automation and secure infrastructure design.

My goal is to contribute to teams by designing scalable, resilient, cost-efficient, and secure cloud systems, while continuously learning from real-world engineering challenges.

Education

B.Tech in Computer Science Engineering

SRM Institute of Science and Technology • 2023 - 2027

AWS Certified Solutions Architect

Associate Level • 2026

What I'm Looking For

  • Associate Solutions Architect (Intern/Junior)
  • Cloud Support Associate
  • Cloud Operations (CloudOps)
  • Cloud Engineer

Technical Expertise

Cloud Core

  • EC2 & Auto Scaling
  • S3 Storage Solutions
  • Lambda (Serverless)
  • RDS & DynamoDB

Networking

  • VPC Design
  • Route53 (DNS)
  • CloudFront (CDN)
  • Load Balancers
  • API Gateway

Security

  • IAM Policies & Roles
  • WAF & Shield
  • KMS (Encryption)
  • Security Groups

DevOps & Tools

  • Git Version Control
  • Linux & Bash
  • Python
  • CloudWatch & CloudTrail

Flagship Projects

Real-world cloud architectures demonstrating problem-solving ability.

Flagship

Serverless Event Processing

Problem

Manual event handling caused processing delays and required constant server monitoring.

Solution

Built a decoupled pipeline using SNS → SQS → Lambda → DynamoDB with auto-scaling.

Result

10x faster processing with zero server management overhead.

Lambda SNS/SQS DynamoDB
Flagship

High-Availability Web App

Problem

Single points of failure caused unexpected downtime during traffic spikes.

Solution

Deployed Multi-AZ architecture with Application Load Balancer and Auto Scaling Groups.

Result

Achieved 99.9% uptime with automatic recovery from failures.

EC2 Auto Scaling ALB RDS
Flagship

Secure Static Site

Problem

Website was vulnerable to common web attacks like SQL injection and XSS.

Solution

Implemented S3 with OAC, CloudFront CDN, and WAF rules for protection.

Result

Effectively mitigated common web attack vectors using WAF rules.

S3 CloudFront WAF

Learning & Growth

Technologies I'm actively studying and building projects with

Terraform

Infrastructure as Code

Docker

Containerization

GitHub Actions

CI/CD Pipelines

Kubernetes

Container Orchestration