I am a BS Computer Science graduate with a strong interest in Python development, backend systems, automation, machine learning fundamentals, and AI-based applications. I have hands-on experience building Flask-based web applications, working with MySQL databases, writing Python automation scripts, and integrating AI/LLM concepts into academic projects.

My main project is EduSense: Contextual Intelligent Automated Grading System, an AI-assisted educational assessment platform that evaluates MCQ answers along with student-written justifications.

Languages: Python, SQL, HTML, CSS
Frameworks: Flask,
Database: MySQL, XAMPP, phpMyAdmin
Python Libraries: os, re, requests, random, pandas, NumPy, scikit-learn
Machine Learning: Supervised Learning, Regression, Classification, TF-IDF, Cosine Similarity
AI / LLM: Mistral 7B, LoRA Adapters, Dataset Preparation, JSONL Formatting, Tokenization
Tools: VS Code, Google Colab, Jupyter Notebook, GitHub

A Flask and MySQL based intelligent assessment system that evaluates student MCQ answers using both selected options and written justifications. The system includes role-based dashboards, quiz generation, hybrid scoring, result storage, and LLM-based justification scoring support.

A console-based Python game where the player guesses a hidden word letter by letter. This project demonstrates Python fundamentals such as loops, conditions, strings, lists, and random word selection.

A collection of small Python scripts for automating repetitive tasks such as file handling, text processing, email extraction, and web page title scraping.

A beginner-friendly machine learning repository containing basic supervised learning examples using Python and scikit-learn.

• Backend development with Flask
• REST API integration
• MySQL database design
• Machine learning model workflow
• LLM fine-tuning and deployment basics

Email: khanqahi790@gmail.com
GitHub: github.com/khubabraza