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Software Engineer specialising in Python, React/React Native, and AI-powered product development with published machine learning research and hands-on full-stack project delivery.

🐍 Python ⚛️ React / React Native 🤖 Machine Learning 🔬 IEEE Published 🏥 Healthcare AI 🔥 Firebase 🌐 Flask/Django 📱 Full-Stack 📱 WordPress 📱 C# 📱 ASP .NET
Selected Work
AI & Software Projects
01
🏥 Healthcare AI · Best Project
NHS Appointment Attendance Prediction

Built a machine learning system to predict whether NHS patients will attend or miss appointments — helping reduce wasted clinical time and improve resource allocation using a real-world healthcare dataset.

92.42% Accuracy
7 ML Models
Real NHS Dataset
Python Random Forest SMOTEENN Flask React Scikit-learn Pandas
⌥ View on GitHub 📄 Read Report
System Architecture
📂 NHS Dataset
→
🔧 Preprocessing
→
⚖️ SMOTEENN
↓
🌲 Random Forest
+
6 Other Models
↓
⚗️ Flask API
→
⚛️ React Frontend
Model Performance Comparison
Random Forest92.42%
Gradient Boosting89.1%
Decision Tree86.5%
Logistic Regression81.3%
SVM79.8%
💬
Mobile App · Social
Social Craze App

A full-featured social networking mobile application built with React Native and Firebase backend.

React Native cross-platform mobile app
Firebase real-time database & authentication
Messaging architecture with push notifications
RESTful API integration
Secure user authentication system
React Native Firebase Node.js REST API
⌥ GitHub
🎓
Web App · EdTech · Django
Learning Management System

A full-featured Django LMS with a complete learning hierarchy — courses → modules → lessons — plus quizzes, progress tracking, downloadable resources, and a Bootstrap UI with authenticated course player.

User auth, profiles with avatar, bio & timezone
Course player with YouTube video embeds & PDF resources
Enrolment system & personalised learner dashboard
Per-lesson progress tracking & quiz scoring (pass/fail)
Python Django Bootstrap HTML SQLite
⌥ GitHub
🗺️
Full-Stack · Civic Tech
Public Help Services App

A civic tech platform connecting users with public services, featuring maps, real-time data, and ML-powered feedback processing.

Full-stack web application
ML feedback classification pipeline
Interactive maps & geolocation
Real-time data updates
Practical product-thinking approach
Python React Flask RESTful API ML Maps API
⌥ GitHub
Academic Research
Published Research
📰
📖 IEEE Publication · Research Paper
Early Diabetes Prediction Using Applied Machine Learning

Published research focused on early prediction of diabetes using applied machine learning techniques. The study explores data preprocessing, feature engineering, model selection, and evaluation strategies to develop an effective clinical decision-support system for early disease detection.

🏛 IEEE Xplore Published Python Scikit-learn Classification Feature Engineering Healthcare AI Model Evaluation
🔗 View IEEE Publication
Technical Expertise
Machine Learning Skills
Data & Preprocessing
Data cleaning & preprocessing
Feature engineering
Data balancing (SMOTEENN)
Python data analysis (Pandas, NumPy)
Exploratory data analysis
ML Models
Random Forest
Decision Trees
Logistic Regression
Gradient Boosting
SVM & KNN
Evaluation & Deployment
Model evaluation & metrics
Cross-validation
Flask API deployment
Research experimentation
Classification pipelines
Software Engineering
React & React Native
Node.js & REST APIs
Firebase backend
Git & version control
Full-stack architecture
Honest & verifiable experience. I do not claim production MLOps pipelines, LLM fine-tuning, or embedded AI deployment — these projects represent real, hands-on work I can speak to in depth.

Let's Work Together

Open to software engineering roles, AI/ML projects, and freelance collaborations. I respond within 24 hours.

✉️ absaboor019@gmail.com 💼 LinkedIn 🐙 GitHub 🌐 Website
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