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༺ RONAK RAJ ༻

Student, NIT KKR

Email LinkedIn Resume GitHub

👨‍💻 About Me ▼

Core Skills

Frontend

React
JavaScript (ES6+)
HTML
CSS
Tailwind CSS
Responsive Design

Backend

Node.js
Express.js
REST APIs

Database & DevOps

Git & GitHub
MongoDB
SQL
Linux

Programming Languages

JavaScript
Python
C++
Java

Education

NIT Kurukshetra
Bachelor of Technology – Information Technology
GPA: 8.34
Nov 2022 – June 2026
SVM School
12th Grade – Mathematics Stream
90.1%
Apr 2020 – Mar 2021
SVM School
10th Grade
94.2%
Apr 2018 – Mar 2019

Languages

English
Fluent
Hindi
Fluent

🔍 Interesting Things I Found on Internet ▼

🚀 Projects ▼

CodeCompanyWise
Built a fully responsive platform to browse and track progress for solving company-specific LeetCode problems.
  • Consumed RESTful APIs to get questions data from github, used LocalStorage for saving user progress.
  • Gained 700+ Active Users and Ranked on Google search using only HTML, CSS, and JavaScript.
HTML CSS JavaScript RESTful APIs LocalStorage SEO
Visit Website GitHub
CyberWatch - Cybercrime Reporting Dashboard
Smart India Hackathon Project | Created a cybercrime dashboard using React and Express.js.
  • Collected and Stored Data from users related to their cybercrime experience.
  • Built and consumed RESTful APIs to visualize security incident analytics.
  • Collaborated in a competitive hackathon setting, gaining team development experience.
React Express.js RESTful APIs Data Visualization Team Development
Project Demo
Inventory Management System
Developed a comprehensive web application for managing item collections with images.
  • Implemented MVC architecture using Express.js backend and MongoDB.
  • Designed responsive UI using Pug and integrated Passport.js for authentication.
Express.js MongoDB MVC Architecture Pug Passport.js Authentication
Project Demo
Breaking a CAPTCHA System using CNN
Semester Project For Deep Learning
  • Automated the generation and labeling of 10,000+ CAPTCHA images from a WordPress plugin to create a supervised ML dataset.
  • Developed an OpenCV-based preprocessing pipeline to segment overlapping characters, with logic to split merged blobs.
  • Designed and trained a LeNet-style CNN in Keras/TensorFlow achieving 100% character recognition accuracy after 10 epochs.
Python TensorFlow Keras OpenCV CNN Deep Learning Computer Vision
Project Demo

🎮 Mini Games ▼

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