Hello, I'm Raman Pareek

A passionate and self-driven engineering student with expertise in full-stack development and AI applications. I love building impactful projects from scratch, blending clean design with robust architecture. Currently pursuing my B.Tech in Electrical Engineering at IIT Jodhpur, I'm constantly exploring new technologies and looking for opportunities to apply my skills to real-world problems. My goal is to create solutions that make a difference while continuously growing as a software engineer.

My Tech Stack

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Projects

Notel - AI-Powered Student Productivity App

Full Stack Developer

Personal Project
  • Created a second-brain platform using React.js, Firebase, and Gemini API to organize and enhance study material with generative AI.
  • Integrated features like conversational AI tutor, AI-generated mind maps, quiz generators, and smart note linking.
  • Built a structured note editor, command palette, and personalized dashboards with session analytics.
React.js
Firebase
Gemini API
JavaScript
AI Integration

Smallocal - Seller-Centric E-Commerce Platform

Full Stack Developer

Group Project
  • Developed a local e-commerce web app using React.js, Node.js, and MongoDB to empower small sellers.
  • Designed seller-specific dashboards, product analytics, and buyer-seller communication channels.
  • Focused on clean UI, mobile-first responsiveness, and seamless cart + checkout flow.
React.js
Node.js
MongoDB
E-commerce
UI/UX

SplitEasy - Smart Group Expense Manager

Full Stack Developer

Personal Project
  • Built a full-stack Splitwise clone with React.js, Convex, and Clerk authentication.
  • Implemented AI-driven spending analytics and smart group notifications.
  • Integrated secure login (Clerk), real-time DB operations (Convex), and PostgreSQL backend.
React.js
Convex
Clerk
PostgreSQL
Full Stack

AI Article Summarizer Chrome Extension

JavaScript Developer

Personal Project
  • Created a one-click browser extension using JavaScript and Gemini API to summarize articles.
  • Implemented content scraping, fast API calls, and a minimal interface for ease of use.
  • Focused on providing quick, AI-generated summaries of web articles.
JavaScript
Chrome Extension
API Integration
Web Scraping

News Veracity & Bias Detector

Machine Learning Engineer

Academic Project
  • Developed ML models using Python and Scikit-learn to detect fake news and classify political bias.
  • Created a web app with article input and veracity scoring.
  • Focused on NLP techniques for text classification and bias detection.
Python
Scikit-learn
NLP
Machine Learning