PROFESSIONAL SUMMARY

Software Engineer with around 1.5 years of experience in Java, kotlin, React.js, specializing in building and scaling applications with Spring Boot, Kotlin, Node.js and the MERN stack. My proven ability to enhance application performance is demonstrated by my work improving mobile responsiveness by 15% and reducing crash rates by 25%. I ensure software quality not just through comprehensive testing, where I helped increase code coverage to over 85%, but also by leading code reviews and establishing best practices. I am particularly interested in leveraging my experience with Generative AI to build the next generation of intelligent and efficient software solutions.

WORK EXPERIENCE
Associate System Engineer, TCS
May 2024 – Present
  • Engineered and maintained features across multiple platforms, developing backend services with Core Java and Oracle DB, building frontend components with JSP, and creating mobile application features using Java and Kotlin.
  • Optimized application performance by enhancing mobile features, resulting in a 15% improvement in responsiveness and a 25% reduction in crash rates.
  • Spearheaded quality assurance initiatives by authoring extensive JUnit and Espresso test cases, increasing unit test coverage from 60% to 85% and significantly reducing pre-release bugs.
  • Led peer code reviews to improve code quality and maintainability, and collaborated with cross-functional teams to design and integrate APIs for seamless functionality.
  • Environment: Java, Kotlin, Core Java, JSP, Android, Oracle DB, SQL, ReactJS, JUnit, Espresso, Git, Agile/Scrum.
  • Associate Intern, Baavlibuch
    Jan 2023 – Dec 2023
  • Engineered a full-stack data-entry tool using the MERN stack (MongoDB, Express.js, React.js, Node.js) to streamline medical data processing.
  • Constructed a progressive web interface for more supportive and accessible to every feature in the application and also for data entry and CRUD functionality.
  • Developed a RESTful API with Node.js and Express.js to handle data manipulation and ensure backend reliability for high-volume entries.
  • Integrated Java Selenium for automated testing, which increased testing efficiency and reduced manual verification time by 40%.
  • Tech Stack : MERN Stack (MongoDB, Express.js, React.js, Node.js),Redis, Microservices, Java Selenium, Socket.io, Git.
  • EDUCATION
    B.Tech in Computer Science & Engineering, CMR Technical Campus

    Aug 2019 - Jul 2023

    SKILL SETS
  • Languages: Java, JavaScript, Python, Kotlin, C++, SQL
  • Frontend: React.js, Angular.js, Tailwind CSS, JSP
  • Backend: Node.js, Spring Boot, Express.js
  • Databases: MongoDB, MySQL, PostgreSQL, Oracle DB
  • Testing: JUnit, Espresso, Selenium
  • Developer Tools & Platforms: Git, VS Code, Docker, Android Studio, IntelliJ IDEA
  • PERSONAL PROJECTS
    CogniFlow: AI Productivity Hub
    Aug 2025 – Present
  • Architected and developed a secure, full-stack MERN application, implementing a robust authentication system with JWT and bcrypt hashing to protect user data and secure all RESTful API endpoints.
  • Engineered the core backend logic to integrate with a third-party Generative AI API and deployed a Redis caching layer with a conversation summarization strategy, which significantly reduced API token consumption and improved application response times.
  • Built a highly responsive and scalable frontend architecture using React and Tailwind CSS, creating a dynamic, component-based UI that ensures a seamless user experience and long-term maintainability.
  • Tech Stack : MERN Stack (MongoDB, Express.js, React.js, Node.js), Redis, JWT, bcrypt, Tailwind CSS, RESTful APIs, Gemini Api .
  • May 2024 – Jun 2024
  • Engineered a meeting scheduling application using the MERN stack (MongoDB, Express.js, React.js, Node.js).
  • Implemented Google and Zoom OAuth 2.0 for secure user authentication and third-party API integration.
  • Designed and built a RESTful API with Node.js and Express.js to manage meeting creation, scheduling logic, and automatic expiration.
  • Tech Stack : MERN Stack (MongoDB, Express.js, React.js, Node.js), Google OAuth 2.0, Zoom API.
  • Jan 2024 – Apr 2024
  • Architected and developed a full-stack Email application using Spring Boot for the backend and React.js for the frontend.
  • Implemented a secure RESTful API with Spring Security for user authentication and management of real-time email transmission.
  • Designed the database schema and managed data persistence using MySQL and Spring Data JPA.
  • Tech Stack : Java, Spring Boot, React.js, MySQL, Spring Security, Bootstrap, RESTful APIs.
  • CODING PROFILE

    Leetcode #197r1a05c5_5c5 | HackerRank #197r1a05c51 | Codeforces #197r1a05c5 | CodeChef #a197r1a0_5c5

    Courses and Certifications
    Beginner: Introduction to Generative AI Learning Path, From Google Cloud
    Python Data Structure, From Coursera
    The Joy of Computing using Python, From National Program on Technology Enhanced (NPTEL)