Hi,
I'am Vipin Kumar
Resume
About
I'm Vipin Kumar
I am a B.Tech CSE student with experience in MERN stack development and machine learning systems. I build scalable web applications using React, Node.js, Express, and MongoDB, and develop ML solutions using Python, scikit-learn, TensorFlow, and NLP techniques.
My work includes REST APIs, authentication, real-time features, and AI-powered applications. I actively practice DSA to improve performance and system efficiency, and I focus on backend architecture, system design, and applied machine learning.
I work on real-world projects, open-source contributions, and deployment-ready applications.
I love building fast, scalable, and user-friendly web applications and constantly strive to learn and implement modern technologies.
Skills
Development Skills
I specialize in full-stack web development (MERN stack) with secure authentication using JWT and Auth0. I build scalable backend systems with Node.js and Express, apply Data Structures and Algorithms in C++, and work as a Data Scientist using Python, SQL, Pandas, NumPy, scikit-learn, and TensorFlow to develop data-driven and machine learning solutions focused on performance and reliability.
Projects
Jepair Bazaar
Built a scalable on-demand home services platform supporting 30+ service categories with secure payments, role-based workflows, real-time order status, chat, and AI chatbot, handling 1,000+ bookings and improving response time by 40%. Tech Stack: React.js, Node.js, Express.js, MongoDB, Socket.io, JWT, Stripe, AI Chatbot.
Live Demo
DoctorSaathi
Built a telemedicine platform enabling online doctor consultations, appointment booking, and ASHAassisted patient care for rural India, improving healthcare accessibility through digital consultations and remote support. Tech Stack: React.js, Node.js, Express.js, MongoDB.
Live Demo
LeetPilot
Built an intelligent Chrome extension that detects the active LeetCode problem and programming language, delivering real-time AI-generated code, explanations, and hints through a responsive chatbot interface. Tech Stack: HTML, CSS, JavaScript, Chrome Extensions, Gemini.
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Youtube Backend
Built a scalable complete YouTube-like backend with secure authentication, video management, likes, comments, subscriptions, playlist, channel etc.. using RESTful APIs and MVC architecture.
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AI Resume Relevance Evaluation System
Built an AI-powered resume screening system automating JD–resume matching, relevance scoring, skill-gap analysis, and fit classification using NLP and ML. Implemented semantic similarity, document parsing, SQLite storage, and a Streamlit analytics dashboard. Tech: Python, NLP, SentenceTransformers, Scikit-learn, Streamlit, SQLite.
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Movie Recommendation System
Developed a content-based movie recommendation system using cosine similarity and precomputed feature vectors. Built a Flask backend with a React.js frontend for real-time recommendations and TMDB poster integration.
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Movie Review Sentiment Analysis
Developed a RNN-based sentiment analysis model to classify IMDB movie reviews as positive or negative. Utilized TensorFlow/Keras for embedding, sequence learning, and binary classification.
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Amazon Clone
An Amazon clone built using HTML and CSS, replicating the core UI of the original e-commerce site. It includes a responsive homepage, product cards, header navigation, and footer. Designed for visual accuracy and layout practice, it showcases frontend design skills without any backend functionality or interactivity.
Live Demo
To_Do
A simple and responsive To-Do app built using HTML, CSS, and JavaScript. It allows users to add, delete, and mark tasks as complete. Tasks are saved in local storage for persistence across sessions. Designed for ease of use, it's a perfect tool to manage daily activities efficiently on any device.
Live Demo