Backend Web Developer | Software Engineer 🚀

Hi, I’m Batool Shilleh 👋

Driven to Build Scalable and Secure Software Solutions. Passionate about creating efficient, high-performing systems.

From Android apps to robust backend systems, I bring problem-solving and innovation to every project.

Why Work With Me?

I thrive in collaborative environments where challenges lead to growth and functional software.

Technology Stack

Node.js

TypeScript

JavaScript

Express.js

React.js

PostgreSQL

Docker

AWS

Jest

GitHub Actions

Flask

Python

Certificates

TAP Internship Certificate

Completed intensive backend internship program.
Worked with Node.js, PostgreSQL, and CI/CD.

AWS Cloud Foundations

Covered EC2, IAM, and S3 services.
Hands-on cloud labs and security essentials.

DevOps Fundamentals

Explored CI/CD, Docker, and GitHub Actions.
Built automated pipelines and monitored apps.

AI Programming with Python and TensorFlow

Completed Udacity Nanodegree Program
Worked with Python, Numpy, Pandas, and TensorFlow
Date: June 24, 2025

Projects

E-Commerce Backend System

Node.js + Stripe + Auth + Grafana Monitoring

Flower Image Classifier

Image classification model using TensorFlow and Transfer Learning (MobileNet) to recognize 102 flower categories.

Football Team Management App

Full-stack web app for managing football players and matches. Built with React.js frontend and Node.js + PostgreSQL backend.

Personal Portfolio (TypeScript)

Responsive and modern portfolio built with TypeScript, HTML, and CSS. Highlights skills, experience, and projects in a clean layout.

Node.js Security & Auth System

Secure Node.js authentication system featuring JWT, role-based access control, password hashing, and route protection using middleware.

Data Analysis & Visualization (ADVsw)

Exploratory data analysis project using Pandas and Matplotlib to uncover patterns, generate insights, and visualize complex datasets.

Date Detection from Images

Computer Vision project that extracts dates from unstructured images using OpenCV and OCR techniques (Tesseract). Ideal for automating document processing.

Simple Object Recognition

Computer Vision project that recognizes basic geometric objects (like circles and rectangles) using contour detection with OpenCV and image processing techniques.