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AI Engineer with 1+ years in ML, NLP & Computer Vision
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Assessing your cultural and operational fit
Data Scientist & AI Engineer with 2+ years of experience building ML models, NLP pipelines, RAG systems, and computer vision applications. Skilled in Python, SQL, Deep Learning, and end-to-end AI system development using LangChain, FastAPI, and cloud tools. Delivered production-level AI projects including chatbots, OCR systems, and full-stack hospital management platforms with measurable real-world impact.
Tanta Higher Institute of Engineering
Bachelor's Degree · Telecom Engineering
N/A – June 30, 2026
Freelance / Self-employed
AI Systems Developer
January 1, 2025 – Present
Shibīn al Kawm, Monufia Governorate, Egypt
NTI (Huawei AI Program) & Independent Projects
AI & Machine Learning Engineer
January 1, 2024 – Present
Shibīn al Kawm, Monufia Governorate, Egypt
MediVerse - Smart Hospital Management System (Graduation Project)
January 1, 2025 – August 1, 2026
Built a full-stack hospital management system using FastAPI, React, Flutter, and SQL Server. Implemented AI consultation, face recognition, drug interaction analysis, and intelligent queue management modules. Designed a scalable Five-Layer Architecture with secure JWT-based authentication and role-based access control.
AI Chatbot System with RAG & Computer Vision
January 1, 2025 – Present
Developed a multi-personality LLM chatbot with context-aware responses using LangChain and Prompt Engineering. Integrated RAG pipeline with vector store retrieval for accurate domain-specific knowledge responses. Combined Computer Vision and OCR modules into a unified AI platform deployed via FastAPI.
View ProjectMachine Learning Predictive Models
January 1, 2024 – January 1, 2025
Built multiple predictive models using Python (Pandas, NumPy, Scikit-learn) achieving high accuracy on real-world datasets. Applied classification, regression, and clustering algorithms with full EDA and feature engineering pipelines. Explored Deep Learning (ANN, CNN, RNN) architectures for advanced pattern recognition tasks.
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic, personal, and freelance work, demonstrates a broad interest in AI applications and a willingness to explore different problem domains. The involvement in the NTI (Huawei AI Program) indicates a commitment to structured learning and industry-relevant skills. The blend of theoretical knowledge and practical application aligns well with a dynamic, innovation-focused environment. The candidate's current student status (expected graduation 2026) suggests a strong learning curve and potential for long-term growth within a company.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving approach, particularly in integrating diverse AI technologies. The freelance experience suggests self-motivation and the ability to deliver production-ready solutions. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.