Hi There,
I'm Anurag Parmar
i am into
About Me
I am a Full Stack Developer passionate about building scalable web applications and solving real-world problems through technology. Currently pursuing a B.Tech in Computer Science at COER University, Roorkee, I specialize in the MERN stack, REST APIs, MongoDB, and modern JavaScript technologies. Recently, I completed a MERN Stack Internship at Byteroar Private Limited, where I developed full-stack application features, built RESTful APIs using Node.js and Express.js, integrated MongoDB with Mongoose, and performed production-level QA testing for the EzyCafe platform. I collaborated using Git/GitHub and worked on seamless frontend-backend integration. Before that, I completed an InvestTech Investment Analyst Internship at ZeTheta Algorithms, contributing to financial technology projects involving quantitative research, market liquidity analysis, convertible bond valuation, and NLP-based sentiment analysis using Python. My notable projects include GuptChat, a production-ready real-time anonymous chat platform built with the MERN stack, Socket.IO, MongoDB Atlas, and Cloudinary, featuring private chat rooms, media sharing, voice messages, and admin moderation. I also developed a Smart IoT Drowsiness Detection System that uses computer vision and AI to detect driver fatigue in real time. I continuously strengthen my expertise in Data Structures & Algorithms, backend development, system design, and scalable software engineering while building production-ready applications and exploring modern technologies.
email : asp07660766@gmail.com
place : Roorkee, India - 247667
Education is not the learning of facts, but the training of the mind to think.
Bachelor of Technology in Computer Science
Intermediate, Science Stream (RBSE)
High School (RBSE)
Byteroar Private Limited | Remote
Worked as a MERN Stack Intern, contributing to full-stack web application development and software testing.
ZeTheta Algorithms Private Limited | Remote
Worked on financial technology and quantitative research projects focused on market analysis and trading intelligence.
Organized and managed a National-Level Hackathon to promote innovation and problem-solving.
Secured 4th rank with a team project (Internship Webpage).
Built an AI-powered assistant like ChatGPT with voice communication.
A production-ready anonymous chat platform where users can create private rooms and communicate instantly. Supports real-time messaging, image sharing, file sharing, voice recordings, and admin room management using Socket.IO, MongoDB Atlas, and Cloudinary.
An AI-powered wearable system that detects driver drowsiness using computer vision and facial landmark detection. The system monitors eye closure in real time and alerts the user to improve road safety through an interactive web demonstration.
Strengthening Data Structures and Algorithms skills in C++ for competitive programming.