Mostafa Emad

Backend Developer and AI Engineer with hands-on experience in Python, Django, and Django REST Framework (DRF), developing scalable backend applications and RESTful APIs. Experienced in building AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, and Llama. Proficient in SQL, Docker, Git, Python automation, and data processing, with a strong foundation in application security using Burp Suite and OWASP Top 10.

Passionate about building secure, intelligent solutions for AI, GIS, and enterprise applications.

Backend Developer at ALX Egypt (2024-11 – 2025-04)

• Developed scalable backend applications using Python, Django, and Django REST Framework
• Designed and implemented secure RESTful APIs.
• Built asynchronous background tasks using Celery.
• Optimized SQL database queries and application performance.
• Containerized applications with Docker and managed code using Git/GitHub.
• Performed unit and API testing while following SDLC best practices.

Web & Mobile Application Penetration Tester (Bootcamp) at WE INNOVATE & ZeroSploit (2024-08 – 2024-09)

• Conducted web and Android application penetration testing using Kali Linux and Burp Suite.
• Identified security vulnerabilities based on the OWASP Top 10 and OWASP Mobile Security Testing Guide
• Assessed authentication, authorization, session management, and REST API security.
• Analyzed HTTP/HTTPS traffic and Android applications using Burp Suite, ADB, and Frida.
• Prepared technical reports including vulnerability findings,(PoC), risk ratings, and remediation recommendations.

LLMs Intern at Khatib Alami (2024-06 – 2024-09)

• Developed AI-powered applications using Large Language Models (LLMs), with a focus on Llama 3.1.
• Implemented Retrieval-Augmented Generation (RAG) pipelines to improve response accuracy and relevance.
• Designed and optimized prompts using Prompt Engineering techniques to enhance LLM performance.
• Processed and integrated structured and unstructured data to support enterprise AI applications.
• Collaborated with cross-functional teams to develop AI-driven solutions for real-world business requirements.
• Explored the integration of LLMs with GIS and geospatial data to support intelligent enterprise applications.

Machine Learning & Artificial Intelligence Intern at Samsung Innovation Campus (2024-07 – 2024-07)

• Developed and evaluated machine learning models using Python.
• Performed data preprocessing, feature engineering, and exploratory data analysis.
• Applied machine learning algorithms to improve model performance.
• Built an AI-powered book summarization application using Python and NLP techniques.
• Collaborated on AI projects involving model training, evaluation, and optimization.

Artificial Intelligence & Machine Learning Intern at Orange Digital Center Egypt

• Developed and evaluated machine learning models using Python.
• Applied supervised and unsupervised learning algorithms to real-world datasets.
• Performed data preprocessing, feature engineering, and exploratory data analysis.
• Collaborated with a multidisciplinary team to develop AI-driven solutions and present technical findings.

Cybersecurity Engineer Intern at Information Technology Institute (ITI) (2023-07 – 2023-09)

• Completed a 120-hour cybersecurity training program
• Studied Cisco, Fortinet NSE4, and Palo Alto.
• Performed penetration testing
• Applied ethical hacking practices.
• Worked with Kali Linux and network security tools
• Completed a practical cybersecurity project.

Bachelor of Computer Science in Computer Science – Menoufia University & The Egyptian E-Learning University (EELU) (2021 – 2025)