Kurapati Raja Sai Nammalwar

Professional Summary

I am a passionate cloud enthusiast and third-year B.Tech Computer Science student with outstanding academic performance (CGPA: 9.46/10.0). I am actively pursuing AWS Cloud Practitioner and Solutions Architect Associate certifications.

My hands-on experience includes deploying and managing cloud-native applications on AWS with expertise in EC2, S3, VPC, and infrastructure automation using Docker and Terraform. I have a strong interest in hybrid cloud architectures and multi-cloud strategies, eager to explore real-world use cases involving on-premises integration, disaster recovery, and cloud migration patterns.

Technical Skills

Cloud Platforms

Amazon Web Services
EC2, S3, Lambda
ECS, ECR, RDS
VPC, CloudWatch
IAM, CloudFront

Cloud Architecture

Terraform (IaC)
Docker (Containerization)
Serverless Computing
Microservices

DevOps & CI/CD

Jenkins
AWS CodePipeline
Git & GitHub Actions
CI/CD Pipelines

Programming

C, C++
Java
SQL
React.js
HTML5, CSS3

Databases

SQL (PostgreSQL, MySQL)
AWS RDS
Supabase

Cloud Projects

Budget Tracker

Code

AWS React.js Node.js Docker SQL

Designed and implemented a cloud-native financial tracking platform to eliminate operational inefficiencies caused by decentralised financial data.
Architected a scalable, containerised deployment model ensuring portability, resilience, and efficient resource utilisation.
Led secure production deployment with automated HTTPS/SSL configuration and custom domain DNS setup.
Delivered a reliable, production-grade system demonstrating strong cloud engineering across infrastructure, deployment automation, security, and operational readiness, while enabling real-time data visibility and structured financial management.

CBALMS - SERN Full-Stack Web Application

Live

Supabase React.js Express.js Node.js Resend Vercel

Designed and developed a full-stack SERN web application with a responsive UI and scalable architecture for a smooth cross-device user experience.
Implemented core user interaction flows, structured data handling, and efficient backend integration to support real-time performance.
Integrated email functionality using Resend for reliable form communication and user notifications.
Deployed the application on Vercel for public access and continuous availability: https://cbalms-sdc-3-2.vercel.app/
Demonstrated end-to-end ownership from ideation and development to deployment, testing, and performance optimization through modular clean-code practices.
Git Hub link for the project: https://github.com/nammalwarsai/CBALMS_SDC_3.2

PRANAPREDICT AI Live & Deployed

Live

React.js Node.js SQL Hugging Face Supabase Render Vercel

Engineered an AI-powered health risk prediction platform with a React + Vite frontend and Node.js/Express backend, integrating Supabase for authentication and data storage.
Integrated Hugging Face Inference API with Qwen/Qwen2.5-7B-Instruct-Turbo to generate personalized health guidance alongside rule-based risk scoring.
Deployed the frontend on Vercel and backend on Render with environment-based URL mapping, enabling stable cross-platform communication in production.
Live link: https://prana-predict-ai.vercel.app/
GitHub link: https://github.com/nammalwarsai/PranaPredict_AI

Education & Certifications

Expected 2027

Bachelor of Technology in CSE

KL University, Guntur

CGPA: 9.46/10.0

Relevant Coursework: Cloud Computing, Data Structures and Algorithms, Operating Systems, DBMS, Computer Networks, Software Engineering, Distributed Systems.

Completed Certifications

Verified

AWS Certified Cloud Practitioner

Completed: January 2026

View Certificate

Verified

Cambridge Linguaskill General English

CEFR B2 Level - 2023

Certifications In Progress

In Progress

AWS Certified Solutions Architect - Associate

Expected: March 2026