Skip to content
View rupeshca007's full-sized avatar

Block or report rupeshca007

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
rupeshca007/README.md

Hi 👋, I'm Rupesh Kumar Singh

🎓 Final-year B.Tech student (Computer Science & Engineering – Data Science)
💻 MERN Stack Developer | Problem Solver | ML Enthusiast
📍 Bangalore, India

👨‍💻 About Me

I am a 4th-year B.Tech student with strong hands-on experience in full-stack web development (MERN Stack) and a solid foundation in Object-Oriented Programming, Data Structures, and Algorithms.

I enjoy building scalable web applications, optimizing backend performance, and creating clean, responsive user interfaces. I’ve also worked on machine learning projects, integrating trained models into full-stack applications.

  • 🔭 Currently working on MERN stack & ML-based projects
  • 🌱 Learning System Design & Advanced Backend Concepts
  • 🧠 Solved 300+ DSA problems across platforms
  • 🚀 Open to internships, entry-level roles, and collaborations

🛠️ Tech Stack

💻 Languages

  • C++
  • JavaScript
  • Python
  • SQL
  • HTML & CSS

⚙️ Frameworks & Libraries

  • React.js
  • Node.js
  • Express.js
  • Flask

🗄️ Databases

  • MongoDB

📚 Core Concepts

  • Data Structures & Algorithms
  • Object-Oriented Programming
  • RESTful APIs
  • JWT Authentication
  • DBMS

📌 Featured Projects

🔹 Dynamic Online Platform for Local Engagement (MERN)

A full-stack web platform where users can explore communities, create blogs, and engage locally.

Key Highlights

  • RESTful APIs with Node.js & Express
  • MongoDB with complete CRUD operations
  • JWT-based authentication
  • Axios interceptors for secure API calls

Tech Used: React.js, Node.js, Express.js, MongoDB
📅 Nov 2024

🔹 CVD Prediction using Machine Learning

A machine learning–based system to predict cardiovascular disease risk using clinical data.

Key Highlights

  • ML models: Logistic Regression, SVM
  • Data preprocessing & model training
  • Flask REST API for real-time predictions
  • React frontend for user interaction

Tech Used: Python, Scikit-learn, Flask, React.js
📅 2025

🏆 Achievements

  • 🧩 Solved 300+ DSA problems on LeetCode, CodeChef, GFG, and CodeStudio
  • 🥉 Meta Hacker Cup – Ranked ~3600 globally among 14,000+ participants

🎓 Education

B.Tech – Computer Science & Engineering (Data Science)
Bangalore Institute of Technology, Bangalore
📅 2022 – 2026

📫 Connect With Me

⭐ If you like my work, consider starring my repositories!

Popular repositories Loading

  1. rupesh5 rupesh5 Public

  2. github github Public

  3. Dynamic-online-platform-for-local-engagement Dynamic-online-platform-for-local-engagement Public

    JavaScript

  4. cvd-prediction-using-ml cvd-prediction-using-ml Public

    Python

  5. dynamic-online-platform dynamic-online-platform Public

    HTML

  6. cvd-prediction-using-machine-learning cvd-prediction-using-machine-learning Public

    Jupyter Notebook