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AI Engineer with less than a year in Machine Learning, Deep Learning & Generative AI
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Computer Science graduate (2024) from Luxor University and a graduate of the ITI 9-Month Program (AI &ML). Possess solid fundamentals in PHP backend development, frontend basics, and API development. Experienced with core software engineering concepts, database management, and deploying applications on servers. Strong foundation in AI &ML, including ML, DL, NLP, Generative AI (LLMs), and Agentic AI, with additional experience in automation and workflow tools such as UiPath and n8n. Motivated junior engineer with a strong passion for building real-world, AI- powered software systems.
Information Technology Institute
Professional Diploma · Artificial Intelligence and Machine Learning
October 1, 2024 – July 1, 2025
Luxor University
Bachelor of Computer Science · Computer Science
August 1, 2020 – June 30, 2024
Awamer Alshabaka Information Technology
AI Engineer
February 1, 2026 – Present
Al Manşūrah, Dakahlia Governorate, Egypt
Agricultural Multi-Output Fruit Classification
June 1, 2026 – Present
Multi-output computer vision model to classify agricultural product images, predicting object name, product type, defect presence, and maturity stage. Applied transfer learning (MobileNetV2), class imbalance handling, data augmentation, progressive fine-tuning. Tools: Python, TensorFlow, Keras, MobileNetV2, OpenCV, NumPy, Matplotlib
Personal Finance Planner & Analyzer
June 1, 2026 – Present
Developed an interactive personal finance analysis app using Streamlit, powered by local LLMs (e.g., LLaMA 3 via Ollama). Designed multi-agent architecture for data processing, financial analysis, and personalized advice generation.
View ProjectInvoice Parsing & Data Extraction (Arabic)
June 1, 2026 – Present
Developed a pipeline to extract information from invoices using OCR and Generative AI. Tools: MistralOCR for text extraction, Gemini LLM for parsing, Python for processing. Output formats: CSV, Markdown, JSON, Database storage.
Computer Vision Object & Face Detection
June 1, 2026 – Present
Developed a model to detect and recognize faces and objects from images, videos, and live streams. Tools: Streamlit, YOLO, MediaPipe, OpenCV (cv2), Python. Features: Real-time detection, bounding boxes, video and image processing.
View ProjectMovie Recommendation Engine
June 1, 2026 – Present
Content-Based Filtering: Recommends movies similar in genre using TF-IDF and cosine similarity & Collaborative Filtering: Suggests movies based on other users' ratings using item-based Neural Collaborative Filtering.
TechFlow (Graduation Project, ITI)
June 1, 2025 – July 1, 2025
Generative and agentic AI project for the "MaharaTek" platform at ITI, designed to assist instructors in creating educational content. Integrated Generative AI & RAG & multi-agent systems to provide personalized educational resources. Tools: Python, Google Gemini 2.5 Flash, CrewAI, Flask, Firebase, APIs, OCR Technology.
View ProjectElserag as a Literacy Platform for Special Needs (Graduation Project, Undergraduate)
April 1, 2024 – June 1, 2024
Developed a mobile app for individuals with special needs to provide an accessible learning environment. Backend: PHP, MySQL (CRUD, Authentication, Database Management). Frontend: Flutter (integrated via RESTful APIs). Features: User management, content delivery, accessibility tools.
View ProjectDatabase Fundamentals
Mahara-Tech
June 1, 2026 – Present
Tensorflow & Pytorch
Mahara-teck
June 1, 2026 – Present
RPA
Mahara-Tech
June 1, 2026 – Present
Probability&Statistics
Coursera
June 1, 2026 – Present
Git & GitHub
DataCamp
June 1, 2026 – Present
Cloud Computing AWS
DataCamp
June 1, 2026 – Present
Backend PHP
Mahara-Tech
June 1, 2026 – Present
Linux
Mahara-Tech
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio showcases a strong interest in diverse applications of AI, from educational platforms for special needs to agricultural classification and personal finance. This breadth of interest, combined with academic and personal projects, indicates a curious and driven individual. The experience in building AI agents and automation workflows suggests a focus on efficiency and practical problem-solving, which would be a good cultural fit for a team looking for innovative solutions. The involvement in a graduation project for ITI's 'MaharaTek' platform also shows a commitment to structured learning and application of advanced concepts.
Soft Skills & Operational Fit
The candidate lists adaptability, communication skills, teamwork, time management, fast learner, problem-solving, and analytical thinking. These are crucial for an AI Engineer role, especially in dynamic environments requiring continuous learning and collaboration. The project diversity suggests a proactive and problem-solving attitude, which aligns well with operational demands.