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About

Entry-Level Software Developer with hands-on experience in full-stack web development and C#/.NET application development. Skilled in MERN Stack technologies including React.js, Node.js, Express.js, and MongoDB, along with C#, .NET, ASP.NET Core, SQL, and RESTful APIs. Experienced in developing web and Windows-based applications, implementing CRUD operations, backend services, database integration, authentication, and API development. Also have practical exposure to AI/ML and NLP, including Python, NLTK, TF-IDF, and Cosine Similarity for intelligent resume screening. Passionate about building reliable and user-focused applications, solving real-world problems, and continuously improving software development skills.

Experience1

  1. Full Stack Developer Intern

    12/2025 — 05/2026

    DCE Technology

    Developed and maintained web applications using MERN Stack. Designed and integrated REST APIs and authentication modules. Contributed to the development of a Job Portal System with Resume Screening to streamline recruitment processes.

Projects2

  • Job Portal with Resume Screening

    Live Demo - https://jobportal-frontend-lac.vercel.app/ GitHub - https://github.com/pandikarthi567-commits/Jobportal-frontend Developed a full-stack intelligent job recruitment platform using the MERN stack with a Python-based NLP service. The platform supports Job Seeker, Employer, and Admin workflows, including job posting, job search and filtering, online applications, resume management, interview scheduling, and notifications. Implemented an NLP-based resume screening system using NLTK for text preprocessing, TF-IDF for text vectorization, and Cosine Similarity to compare resumes with job descriptions and generate candidate-job matching scores. Developed RESTful APIs using Node.js and Express.js, integrated MongoDB for data management, implemented role-based authentication and authorization, and deployed the application using Vercel, Render, and MongoDB Atlas.

    • MERN Stack

  • Machine Learning Web Application

    Live Demo - https://machine-learning-algorithms.streamlit.app/ GitHub - https://github.com/pandikarthi567-commits/Streamlit-app Developed a Python-based web application using Streamlit for real-time predictions. Integrated a pre-trained machine learning model with data preprocessing for accurate results

    • Streamlit

Education3

  • B.Sc.

    2023 — 2026

    V.H.N.S.N College

    Computer Science

  • HSC

    2022 — 2023

    KVS Higher Secondary School

  • SSLC

    2022 — 2021

    KVS Higher Secondary School