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Open to Internships & SDE Roles

Building reliable software,
one optimal solution at a time.

Computer Science undergraduate at JIIT, focused on data structures, systems, and full‑stack product engineering. 1250+ competitive programming problems solved, three shipped products, one leadership role.

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Vaibhav Raj Singh
B.Tech CSE · JIIT · 2027
Available for opportunities
Competitive Programming
0+
Across 3 Platforms
Communities that built me
0
KNUTH AI/ML Hub Parola
Shipped Products
0
React Flask
Who I Am

Engineer first. Problem‑solver always.

Computer Science undergraduate with strong foundations in Data Structures & Algorithms, OOP, Operating Systems, DBMS, and Computer Networks — proven through 1000+ competitive programming problems and three shipped, full‑stack products.

What I Build

Scalable, real‑world software — from an online compiler used by 50+ peers to a trust‑verification bridge for social marketplaces.

Competitive Programming

1000+ problems across Codeforces, CodeChef and LeetCode. CodeChef rating 1803, Global Rank 74 in Starters 209.

Leadership

Head - KNUTH Programming Hub — organizing inter‑college contests and mentoring juniors through weekly CP sessions.

System Design

Comfortable across the stack — REST APIs, MongoDB, Judge0 integration, and performance‑minded architecture.

Applied AI

Built a GenAI ad‑creation tool for small businesses — recognized as a State‑Level Finalist at NXT Wave Buildathon x OpenAI.

Ownership

Drives features end‑to‑end — from Judge0 integration to reducing verification time by 50% in production‑style projects.

Tech Stack

Tools I reach for.

No progress bars — just the languages, frameworks, and tools I actually ship with.

Languages

C++
SQL
JavaScript
HTML / CSS
Python
Java

Frameworks & Libraries

React.js
Tailwind CSS
Flask

Tools

Git
GitHub
VS Code
Judge0 API
MongoDB
Vite

CS Fundamentals

Data Structures
Algorithms
Trees (AVL, Trie)
Competitive Programming

1250+ problems. Three platforms. One habit.

Consistent practice across Codeforces, CodeChef, and LeetCode — with a current CodeChef rating of 1785.

CodeChef View Profile
0
Current Rating
Starters 209 · Oct 2025Rank 74
Starters 205 · Sep 2025Rank 225
Starters 198 · Aug 2025Rank 410
Codeforces View Profile
0+
Problems Solved
Rating: Pupil
DPGraphsGreedyTrees
LeetCode View Profile
0+
Problems Solved
Rating: 1886 (Knight)
ArraysStringsDP
Selected Work

Three products. Real users.

Each one solves a concrete problem — from debugging friction to marketplace trust to creative bottlenecks for small businesses.

Live · 50+ Users

CodeMate — Online Compiler Platform

A full‑stack online compiler built with React, the Judge0 API, and Monaco Editor — with multi‑testcase support for fast, reliable iteration.

50+Active peers
40%Faster debugging
MultiTestcase support
GitHub ↗ Live Demo ↗
main.cpp
#include <bits/stdc++.h>
int main() {
  int t; cin >> t;
  while(t--) solve();
  return 0;
}
Testcase 1: Accepted Testcase 2: Accepted
Problem

Switching between editors, compilers, and testcases slows down practice and interview prep.

Architecture

React front end, Monaco Editor for the coding surface, Judge0 API for sandboxed execution across languages.

Impact

Adopted by 50+ peers; cut debugging time by 40% through instant multi‑testcase feedback.

Future Scope

Shareable rooms for pair‑programming and a contest‑mode with live leaderboards.

Live · Trust Infrastructure

trusTissue — Verification Bridge Platform

A trust‑verification bridge for Telegram and Instagram marketplaces, with secure uploads, audit logs, and feature‑based validation.

50%Faster verification
AuditLogging built‑in
SecureUpload pipeline
GitHub ↗ Live Demo ↗
✓
Upload received & scanned
✓
Feature‑based validation passed
✓
Audit log recorded
→
Verified badge issued
Problem

Social‑media marketplaces on Telegram and Instagram lack a reliable way to verify sellers before a transaction.

Architecture

Secure upload pipeline with feature‑based validation and immutable audit logs for every verification event.

Impact

Reduced verification time by 50% and improved successful transaction rates for marketplace participants.

Future Scope

Reputation scoring over time and native bot integrations for Telegram groups.

Flagship · State‑Level Finalist

Desi‑Scribe AI — GenAI Ad Creator

A generative AI tool that helps small businesses create advertisements effortlessly — automating creative workflows that would otherwise need a designer and copywriter.

FinalistNXT Wave Buildathon x OpenAI
State‑LevelRecognition
GenAIAutomated creative pipeline
GitHub ↗ Live Demo ↗
Business input
Brand tone
Generated copy
Ad creative
Motivation

Small businesses rarely have budget for a designer or copywriter — creative work becomes the bottleneck to marketing.

Approach

Leverages GenAI models to turn a short business description into ready‑to‑use ad copy and creative direction.

Recognition

Selected as a State‑Level Finalist in the NXT Wave Buildathon x OpenAI, competing against teams across the state.

Future Scope

Template libraries by industry, multi‑language ad copy, and direct export to social ad formats.

Engineering Journey

Building Through Every Semester.

Every semester, I challenged myself to build something more ambitious than the last. From simple CLI applications to AI-powered systems, each project strengthened my understanding of software engineering and problem solving.

Semester 1

Learning the Fundamentals

  • CLI Based Movie Ticket Booking System
    Built a movie ticket reservation system using C with persistent file management for storing booking information.
  • Smart Gate Alarm System
    Developed a physical gate monitoring system capable of detecting unauthorized opening/closing and triggering alarms.
C CLI File Handling Problem Solving
Semester 2

Object-Oriented Programming & System Design

  • Developed a complete CLI Based College Portal in C++.
  • Implemented three independent interfaces: Student, Teacher & Admin.
  • Designed a custom password hashing mechanism using randomized key generation.
  • Automatically generated unique Roll Numbers and assigned batches based on branch and student information.
  • Implemented a unique 16-character alphanumeric recovery key for password reset functionality.
C++ OOP Authentication Hashing System Design
Semester 3

Transition to Full Stack Development

  • Expanded the College Portal into a complete web-based ecosystem.
  • Built CampusBuzz, a campus social media platform.
  • Added anonymous and identity-based posting, likes, comments and real-time chatting.
  • Developed Buy & Sell and Lost & Found modules for campus students.
  • Integrated PHP, MySQL and Socket Programming to support backend functionality and real-time communication.
HTML CSS JavaScript PHP MySQL Sockets
Semester 4

Data Structures in Practice

  • Developed a CLI-based Phone Directory Management System for efficient contact storage and retrieval.
  • Implemented searching, insertion, deletion, and update operations using efficient data structures.
  • Focused on improving code organization, modular design, and optimized search operations.
C++ Data Structures Searching CLI
Semester 5

AI Meets Embedded Systems & Accessibility

  • Built an Audio-to-Text Browser Extension capable of converting audio from any video playing on the screen into text using a custom Speech-to-Text model.
  • Developed Minds in Motion, an accessibility platform for differently-abled individuals featuring American Sign Language (ASL) to Text conversion integrated with a custom Voice-to-Text model.
  • Designed an AI-powered Smart Posture Correction System using ESP32, gyroscope, and accelerometer sensors to continuously monitor posture.
  • Integrated an AI model to classify posture from sensor data and trigger real-time alerts through a buzzer and mobile notifications over Wi-Fi whenever poor posture was maintained for an extended duration.
Python ESP32 Arduino Computer Vision Speech-to-Text IoT AI
Semester 6

Deep Learning & Handwriting Generation

  • Developed a Handwriting Generation System capable of converting digital text into personalized handwritten text.
  • Trained a custom deep learning model using handwritten character datasets to accurately replicate an individual's writing style.
  • Required users to provide handwritten samples of A–Z only once to generate a personalized handwriting model.
  • Reduced handwriting style generation time to approximately 2 seconds.
  • After model generation, achieved near real-time (virtually zero-latency) handwritten text conversion.
Python PyTorch Deep Learning Computer Vision Model Training GPU Computing
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The Journey

Communities that built me.

Every community shaped a different part of my journey—from learning and volunteering to leading, mentoring, and giving back to the programming community.

Scroll to explore
First Year

Digital Volunteer • AI/ML Hub

    Achievements

    Numbers that back it up.

    1803
    CodeChef Rating
    Rank 74
    Starters 209, Oct 2025
    1250+
    Problems Solved
    Finalist
    NXT Wave x OpenAI

    Let's build something reliable.

    Open to internships, SDE roles, and interesting collaborations. I usually reply within a day.

    Email Me → LinkedIn GitHub