Hi,

I am Bhavpreet Singh

Full Stack Developer

Hi, I am

Bhavpreet Singh

Full Stack Developer

About Me

I am a full-stack developer currently pursuing my Master’s in Computer Science at the University of Illinois Urbana-Champaign (UIUC) while working as a Software Developer at One Community Global. I hold a B.S. in Computer Science from NYIT with a 3.90 GPA and have professional experience building scalable web applications and backend systems. My technical expertise spans React.js, Node.js, Express, TypeScript, Next.js, MongoDB, MySQL, and Docker. I'm also Salesforce certified (Administration, Platform Developer I, and App Builder) with hands-on experience in full-stack development across multiple project domains.

I specialize in designing sophisticated user-facing components and engineering robust backend systems that handle critical operations. At One Community Global, I've developed full-stack functionality for time-tracking software, community portals, listing and bidding platforms, and analytics dashboards. I've implemented interactive features like availability calendars, geolocation-enabled maps, messaging platforms, and comprehensive analytics dashboards for data-driven decision making. I excel at developing end-to-end features, integrating REST APIs, optimizing performance, and collaborating effectively in team environments. My goal is to build reliable, scalable, and impactful software solutions that enhance user experience and drive business growth.

Work Experience

One Community Global

Jan 2025 - Dec 2025

React

Node

MongoDB

Express

One Community Global

At One Community Global, I contribute to the Highest Good Network project, and its other related platform, where I help in development of new features, fixed bugs, and participate in detailed pull request reviews using React.js, MongoDB, Express, and Node.js. I built a listing overview feature to improve data presentation and user experience, and designed an interactive map with geolocation integration for better navigation and engagement.I also developed the backend for a Wishlist feature, ensuring smooth data flow and intuitive user interaction. In addition to building features, I resolved critical bugs and hotfix issues to enhance overall system stability and performance, while maintaining high code quality through consistent PR reviews and adherence to best practices.

React

Node

MongoDB

Express

Projects

Shelves

Integrated Node.js, Next.js, MongoDB, and others, with features like personalized recommendations and seamless book delivery.Our main objective is to offer a convenient platform for accessing physical library books, bypassing the need to visit libraries in person and serving as a learning opportunity for us to explore new technologies hands-on.

We Care 4 U

We Care 4 U – Healthcare Management System

The goal of the platform is to provide a simplified healthcare experience by combining different aspects of healthcare in one place.The platform will help users in applying for insurance and managing their current policies. It will also help users in searching for doctors and clinics that accept their insurance, schedule appointments with them, view medical records such as consultation notes, and lab results.

Hotel Management System

Developed a Hotel Feedback Portal featuring user authentication, machine learning powered complaint categorization, and PDF report generation for managers.Implemented modular code structure for maintainability and robust error handling, enhancing the overall user experience in the hospitality sector.

Messenger

Designed and implemented a secure and feature-rich chat application for robust user authentication, socket programming for real-time communication and an intuitive user interface.Achieved seamless message and file transfer functionality within a client-server architecture.

Shadow bank

Shadow Bank

Developed a Java-based banking system, "Shadow Bank," featuring robust database interactions with MySQL, secure user authentication, and comprehensive management of customer accounts, employee profiles, and approval workflows.

Java

MySQL

Reddit Sentimental Analysis

Reddit Sentiment Analysis

Conducted sentiment analysis on Reddit data using NLP techniques to gauge public opinion dynamics. Applied TextBlob and VADER for sentiment classification, while implementing extensive data preprocessing.Leveraged pullpush.io API for data retrieval and zero-shot classification for topic labeling.

Traffic Prediction

In the Traffic Prediction Project, I led the analysis of city traffic data using logistic regression, decision tree, and KNN models to predict congestion patterns.This involved preprocessing the data, visualizing trends, and developing models that achieved up to 86.83% accuracy.