Portfolio

Full Stack Developer. Proficient in web developement

I am a highly skilled and motivated computer science professional with a Bachelor of Technology in Computer Science from SRM Institute of Science and Technology and a Master of Science in Computer Science from Northeastern University. With a GPA of 4.0, I have demonstrated proficiency in a wide range of courses, including Algorithms, Program Design Paradigm, Database Management System, Web Development, and Human Computer Interaction. I am proficient in several programming languages, including Java, JavaScript, TypeScript, HTML, CSS, Python, C, C++, C#, SQL, and R, and have experience working with frameworks such as React.js, Node.js, Bootstrap, Docker, Spring Boot, and AWS. I am also skilled in database management, with experience working with MySQL and DB2. With a strong focus on software engineering best practices, I am a problem solver with excellent analytical skills, time management, and team player abilities.

about

In my project, I developed a user interface for an IMDb clone web app using React and Redux. I handled the server-side logic using Node.js and Express and deployed it on Render. For database operations, I integrated MongoDB and used MongoDB Atlas for effective server management. I implemented advanced user functionalities with distinct roles and ensured the applications security by adhering to best practices. Throughout the development process, I used Git for version control and integrated RESTful API services for dynamic data handling.

Java Image Processor

In a demonstration of advanced skills in Object-Oriented Programming (OOP) and design patterns, a Java Image Processor was developed employing the Model-View-Controller (MVC) architecture. This project showcases the ability to efficiently structure software for enhanced maintainability, scalability, and separation of concerns, which are pivotal in modern software development.

Society Management System Website

Leveraging a diverse tech stack, this project involved the integration of React.js, Java, MySQL, and Git to develop a dynamic multi-user profile website. The design centered around a robust Java backend using Spring Boot, coupled with a responsive frontend built with JSP and Bootstrap. This comprehensive approach allowed for a detailed analysis and implementation of a user-friendly interface, as well as efficient backend processes. A key feature of the project was the establishment of a MySQL-based user management system, optimized for effective data storage and retrieval, ensuring a seamless user experience and high-level data integrity. This project exemplifies a holistic approach to web development, combining various technologies to deliver a cohesive and functional user-centric platform.

Music Genre Classification using Machine Learning Algorithms

In a cutting-edge project, I spearheaded an initiative to compare various machine learning models for the classification of music genres within datasets. This involved enhancing the models to address computational inefficiencies and reduce bandwidth consumption, significantly improving their performance. The project culminated in achieving optimal results through a detailed comparative analysis, showcasing my deep expertise in machine learning and strong capabilities in project leadership.

Containerized E-Commerce with Spring Boot

I designed and implemented a scalable full-stack architecture using containerized microservices with Docker, Kubernetes, and Java Spring Boot, adhering to various design patterns and the Software Development Life Cycle (SDLC) principles. This architecture facilitated the independent scaling and deployment of each service component, enhancing overall system robustness and maintainability. By leveraging Kubernetes, I orchestrated container deployment, scaling, and management, which ensured high availability and efficient load balancing across services. Additionally, I developed RESTful microservices tailored for specific business domains such as product catalog, order management, and payment processing, significantly optimizing each function for better performance and reliability.

Itinerary Route Planner

I engineered and launched a Streamlit-based web app for itinerary planning that seamlessly integrates the Google Maps API for optimized routing and utilizes Pandas for robust data handling. The app features a custom, responsive user interface that demonstrates my proficiency with Python and API integration. Additionally, I implemented A* and Kruskals Minimum Spanning Tree algorithms to develop machine learning solutions for efficient route finding. The entire solution was deployed on Netlify, resulting in a scalable and seamless web application that significantly enhances user experience.

| June 2017 - May 2021

SRM Institute of Science and Technology

GPA: 3.50/4.00

| January 2023 - May 2025 (Anticipated)

Northeastern University

GPA: 4.00/4.00

Work

Cognizant

Cognizant Technology Solutions

jr. Software Engineer

Sept 2021 - Oct 2022

Cognizant

Cognizant Technology Solution

Programmer Analyst Trainee

Jan 2021 - Sept 2021

Impetus

Impetus Pvt. Ltd.

Developer Intern

June 2019 - Aug 2019