Ahmed Atta

Ahmed Atta

AI Engineer & Backend Developer

Computer Science student at Ain Shams University with hands-on experience in full-stack development and machine learning. Passionate about building AI-powered applications, scalable backend systems, and modern web solutions.

Hadayek El Nozha compound, El-Obour, Cairoahmed.attaa238@gmail.comahmed-atta-moatta238

Expertise

Full-Stack Development

Building responsive web applications and robust backend systems using modern frameworks like ASP.NET, Spring Boot, Laravel, and Angular.

ASP.NETAngularLaravelSpring BootJavaScript

Artificial Intelligence & Machine Learning

Developing AI-powered applications, RAG systems with vector databases, and predictive machine learning models using Python and advanced data pipelines.

PythonMachine LearningRAG SystemsXGBoostQdrant

Backend & Database Architecture

Designing RESTful APIs, implementing secure authentication, and managing relational databases with optimized performance and clean code practices.

SQL ServerMySQLRESTful APIsDockerGit

Featured projects

Smart Assessment Platform

Developed a full-stack online examination platform using ASP.NET Core 8 Web API, Entity Framework Core, SQL Server, React, and TypeScript. Implemented JWT authentication, role-based authorization, exam and question management, student examination workflows, and automated grading with score calculation. Designed RESTful APIs with Swagger documentation and implemented secure access control using BCr

Impact: Delivered an end-to-end examination workflow covering exam creation, student attempts, answer submission, and automatic

RAG-Based Document Question Answering System

Built a scalable RAG system for semantic document search and AI-powered Q&A utilizing FastAPI, Qdrant, MongoDB, and Docker. Implemented a PDF/TXT ingestion pipeline with vector indexing, semantic retrieval using Sentence Transformers, and Groq LLaMA-3.3-70B models for context-aware responses.

Impact: Enabled scalable semantic search and AI-driven document Q&A containerized via Docker Compose.

Movie Popularity Prediction

Developed an ML pipeline to predict movie popularity across a dataset of nearly 1M movies using Python, XGBoost, Scikit-learn, and Optuna. Built a 17-step preprocessing and feature engineering pipeline with TF-IDF extraction.

Impact: Achieved 84.8% accuracy using tuned XGBoost, Logistic Regression, and Naive Bayes models.

Learnova – Course Registration System

Built a scalable GUI-based course registration system with C++, Qt, and OOP principles featuring admin and student modules. Implemented course registration, prerequisite validation, GPA calculation, PDF reports, Python-based email verification, and optimized CSV data handling.

Impact: Provided a comprehensive desktop registration and management tool with secure workflows.

Tayar – Food Ordering Management System

Developed a scalable food ordering system using Java and JavaFX with customer, admin, and delivery staff modules. Implemented location and category-based restaurant filtering, order tracking, authentication, and JSON-based file handling.

Impact: Created an interactive GUI system for streamlined food delivery management and order tracking.

Career highlights

2026

Served as a Full Stack Intern at NTG Clarity, building applications with Java, Spring Boot, Angular, and TypeScript.

2026

Worked as a Full Stack Intern at DEPI, developing web applications using ASP.NET, C#, and SQL Server.

2025

Completed Full Stack Training at NTI focusing on PHP, MySQL, and Laravel.

2025

Earned certification in Introduction to SQL from DataCamp.

2024

Participated as an ECPC Qualification Contestant, demonstrating advanced problem-solving skills.