Crafting DigitalExperiences

Full Stack Developer building scalable web applications with React, Node.js, and modern cloud infrastructure.

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About

I'm a full-stack developer passionate about creating digital experiences that matter. With expertise spanning frontend frameworks, backend systems, and cloud infrastructure, I build applications that scale.

Currently pursuing my Master's in Computer Science at George Mason University, while drawing on professional experience from Cognizant Technology Solutions. I believe in clean code, thoughtful design, and solving real problems.

Current Education

Master of Science

George Mason University

Aug 2023 – May 2025

Bachelor's Degree

B.Tech - CSE

Kakatiya Institute of Technology, India

Aug 2018 – May 2022

Skills & Expertise

Languages

JavaScript TypeScript Java Python SQL

Frontend

React Angular HTML5 CSS3 Tailwind

Backend

Node.js Express.js Spring Boot Flask

Tools & Infrastructure

AWS Docker Kubernetes Git Jenkins

Experience

Software Engineer

Cognizant Technology Solutions

Sep 2022 – Jul 2023

Developed full-stack web applications using React and Angular frontends with Java Spring Boot and Flask backends, serving diverse client requirements.

  • —Designed and consumed REST APIs integrated with PostgreSQL and MongoDB databases for real-time data management
  • —Implemented CI/CD pipelines using Jenkins and Docker, achieving 40% reduction in deployment time
  • —Deployed containerized applications on AWS with CloudWatch monitoring for production stability
  • —Collaborated in Agile/Scrum teams, conducting code reviews and driving architectural discussions

Software Engineer Intern

Cognizant Technology Solutions

Feb 2022 – Aug 2022

Built and maintained backend services supporting internal tools and client applications across AWS infrastructure.

  • —Developed Spring Boot and Flask-based web services deployed on AWS for mission-critical applications
  • —Supported CI/CD automation using Docker and Jenkins, improving deployment reliability across environments
  • —Debugged backend services, resolved production issues, and maintained comprehensive technical documentation

Featured Projects

Portfolio Management System

Angular • Java Spring Boot • PostgreSQL • Docker

A full-stack web application designed to help investors track and manage their investment portfolios in real-time. The project demonstrates end-to-end development from responsive frontend to scalable backend infrastructure.

Key Achievements

  • —Built Angular frontend with real-time portfolio updates and intuitive data visualization
  • —Implemented Spring Boot REST APIs with complete CRUD operations
  • —Designed relational database schema with PostgreSQL for data integrity
  • —Containerized application using Docker for consistent deployment

Portfolio Management

Event Ticket Management System

Python • Flask • MongoDB • AWS

A backend-focused application for managing events and handling ticket bookings. The system handles complex business logic including inventory management, user authentication, and payment processing for an event platform.

Key Achievements

  • —Developed comprehensive RESTful APIs for event and ticket management
  • —Implemented user authentication and authorization with JWT tokens
  • —Deployed on AWS with MongoDB for flexible document storage
  • —Created comprehensive API tests with 85% code coverage

Event Ticketing

Budgeting Tool Web Application

Python • Flask • MySQL • Docker

A personal finance management tool that helps users track expenses, set budgets, and gain insights into their spending patterns. The application provides a clean interface for financial awareness and planning.

Key Achievements

  • —Designed intuitive UI for expense tracking and budget visualization
  • —Implemented RESTful APIs for all financial operations
  • —Built MySQL database with optimized queries for reporting
  • —Containerized and deployed on cloud infrastructure

Budgeting & Finance

AI Therapeutic Chatbot

Python • Flask • Docker • Kubernetes

An advanced conversational AI system integrating locally-hosted language models with containerized microservices. The project showcases modern DevOps practices and demonstrates the ability to build scalable AI applications.

Key Achievements

  • —Integrated Ollama LLM for conversational AI capabilities
  • —Implemented session management for personalized user experiences
  • —Containerized microservices with Docker for scalability
  • —Deployed on Kubernetes with auto-scaling for concurrent users

AI Chatbot

Let's Talk

I'm always interested in hearing about new opportunities, interesting projects, and how I can help bring your vision to life.

Email

your.email@example.com

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