Brijesh Kumar Morya

Brijesh Kumar
Morya

Backend-Focused Full-Stack Developer & Node.js Engineer

Building reliable, scalable systems and clean API-driven architectures. Third-year B.Tech CSE student at the University of Delhi — actively seeking backend engineering internships and junior developer roles in India.

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About Me

I am Brijesh Kumar Morya, a third-year B.Tech student in Computer Science & Engineering at the Faculty of Technology, University of Delhi, specialising in Software Engineering.

My foundation spans Data Structures & Algorithms, Object-Oriented Programming, Operating Systems, and Database Management Systems. I focus primarily on backend development, RESTful API design, and scalable system architecture using Node.js, Express.js, and MongoDB.

I have built production-grade projects including an expense-management system with real-time WebSocket sync, a travel listing platform with Passport.js auth, an AI-powered grievance management system, and a Fake News Detector with 99.48% ML accuracy — gaining deep hands-on experience with API development, authentication flows, database design, and cross-functional team integration.

Actively seeking software engineering internships and entry-level backend roles where I can contribute to production systems and grow as a backend-focused full-stack developer.

 Available for Internships & Roles

Hire Me for Backend Development

Looking for a dedicated backend developer intern who ships clean REST APIs, writes maintainable code, and moves fast? Let's build something great together.

Node.js & Express APIs MongoDB & MySQL JWT / Auth Flows Real-time WebSockets Docker & Cloud Deploy Remote or Delhi On-site

Featured Projects

Backend Developer Group Project · Jan 2026–Present

HealthSetu – AI Dialysis Booking Platform

Problem: Dialysis scheduling is fragmented, leading to booking conflicts and poor patient experience. Solution: AI-powered booking platform with a conflict-free allocation engine, role-based APIs, and Firebase-authenticated access for patients, doctors, and admins. Result: Zero booking conflicts via smart slot allocation, deployed on Google Cloud Run for auto-scaling.

Node.jsExpress.js MongoDBReact.js Firebase AuthCloud Run
  • Conflict-free slot allocation engine preventing double-bookings at scale
  • Role-based REST APIs for patients, doctors, and hospital admins
  • Medical report analysis and intelligent booking recommendations
  • Containerised backend deployed on Google Cloud Run with auto-scaling
0 booking conflicts · Cloud Run auto-scale · Firebase Auth
Architecture Diagram
React UI Node/Express API (Cloud Run) Allocation Engine Firebase Auth React UI → Node/Express API (Cloud Run) → MongoDB · Firebase Auth above API · Allocation Engine (dashed)
Full-Stack Dev Group Project

PerSplit – Expense Splitting App

Problem: Existing expense apps lack real-time collaboration and UPI-native split methods. Solution: Full-stack app enabling group expense tracking with equal, percentage, or custom splits and QR-based UPI settlement. Result: Streamlined shared finances with fewer transactions.

FlutterNode.js Express.jsMongoDB JWTSocket.IO
  • Personal and group expense tracking with multiple split methods
  • Optimised net settlement algorithm to minimise transactions
  • Real-time updates via WebSockets for instant sync
Real-time WebSocket · O(n) settlement algorithm · JWT Auth · UPI QR
Full-Stack Dev Solo Project

WanderLust – Travel Listings App

Problem: Travel platforms need intuitive browsing and secure access. Solution: Full-stack web app with browseable listings, detailed property views, and session-based auth. Result: Smooth navigation with consistent performance.

Node.jsExpress.js MongoDBPassport.js EJSCloudinary
  • Session-based authentication with Passport.js
  • Dynamic listing pages with Cloudinary image optimisation
  • RESTful backend supporting full CRUD operations
Live on Render · Cloudinary CDN · OTP email verification
Frontend Dev Group Project

AI Grievance Management System

Problem: Manual grievance handling is slow and lacks transparency. Solution: NLP-driven system for text/voice submissions with multilingual support and automatic routing. Result: Faster resolution and reduced manual intervention.

HTMLCSS JavaScriptFlask NLP Models
  • Voice and text input with multilingual language model support
  • Automatic classification and authority routing
  • Real-time complaint status tracking
Multilingual NLP · Voice + Text input · Auto-routing
ML Engineer Solo Project

Fake News Detector

Problem: Text classification requires careful feature engineering and model selection. Solution: TF-IDF (80K vocab) with Gradient Boosting, Random Forest, and Logistic Regression ensemble on 44K articles. Result: 99.48% accuracy, sub-second CPU inference.

PythonScikit-learn PandasTF-IDF
  • TF-IDF feature extraction across 80,000-word vocabulary
  • Gradient Boosting classifier achieving 99.48% accuracy
  • Grid search and cross-validation for hyperparameter optimisation
99.48% accuracy · 44K articles · 80K-vocab TF-IDF · sub-second CPU inference

Skills & Technologies

Programming Languages

Python Java JavaScript C Dart

Backend Development

Node.js Express.js RESTful APIs JWT Auth WebSockets MVC Firebase Auth

Frontend Development

React Flutter HTML CSS Tailwind CSS Bootstrap EJS

Databases

MongoDB MySQL Cloud Firestore

Cloud & BaaS

AWS Google Cloud Cloud Run Firebase Firebase Hosting

AI & Machine Learning

ML Fundamentals Scikit-learn Model Evaluation

Tools & Platforms

Git Docker Postman Linux Selenium

Project Management

JIRA Bugzilla GitHub SDLC

Core CS Concepts

DSA OOP OS Computer Networks DBMS

Embedded Systems

Arduino Raspberry Pi

Technical Blog

Education

Bachelor of Technology (B.Tech)
Computer Science & Engineering | Software Engineering
Faculty of Technology, University of Delhi 2023 – 2027 Delhi, India

Get In Touch

Open to internship and junior backend developer roles — remote or on-site in Delhi. Feel free to reach out if you have an opportunity or just want to connect.

Location
Delhi, India