High-achieving Computer Science student (CGPA: 3.80+/4.0, With Honors) specializing in backend engineering, Generative AI, and software architecture. Experienced in building end-to-end ML/NLP pipelines, multi-agent RAG systems (LangChain, LangGraph), and scalable cloud-hosted applications (ASP.NET, Azure). Proven communicator and leader with a track record as a Junior Teaching Assistant and Software Engineering Mentor, guiding 80+ students in programming, algorithms, and system design.

• Education: B.Sc. in Computer Science, Nile University (2023–2027)
• Location: 6th of October City, Giza, Egypt
• Interests: Software Architecture, AI/ML Systems, Algorithm Design, Cloud Computing

• Situation: Security teams needed to detect anomalies across massive volumes of network log data, but traditional single-threaded analysis couldn't keep pace with the scale involved.
• Task: Build a distributed intrusion detection system capable of processing large volumes of network logs and flagging anomalous behavior efficiently.
• Action: As part of a 5-person team, engineered a distributed pipeline using Kafka, Apache Spark, and Spark MLlib to process 11+ GB of network logs against the Kyoushi Log Dataset, implementing dual anomaly detection engines (Z-scores and K-Means clustering) and visualizing results in Zeppelin notebooks. ⚙️
• Result: Achieved a 6.7x speedup over single-threaded Python processing, delivering a scalable detection system documented in an accompanying IEEE paper.

• Situation: Fitness enthusiasts lacked an affordable, streamlined platform to track workouts and monitor progress without the bloat of enterprise-level tools. 🔵
• Task: Design and deliver a full-stack fitness web application with secure user authentication, rate limiting, and cloud deployment from scratch. 🎯
• Action: Built an ASP.NET Core 9.0 Web API backend connected to SQL Server, developed a responsive HTML/CSS/JS frontend hosted on GitHub Pages, and set up CI/CD pipelines for automated deployments to Azure. ⚙️
• Result: Successfully deployed a production-ready platform and presented it at the 21st Undergraduate Research Forum (UGRF), receiving recognition for its clean architecture and real-world applicability. ✅

🔗 GitHub Repository • 🌐 Live Demo

• Situation: Users needed an AI assistant that could maintain context across multi-turn conversations without relying on a single monolithic prompt. 🔵
• Task: Build a full-stack conversational agent with persistent memory and modular tool integrations to handle diverse user queries efficiently. 🎯
• Action: Engineered a Streamlit-based application powered by GPT-4o, implementing custom memory management and orchestrating 4 custom LangChain tools for extended functionality. ⚙️
• Result: Reduced average query response latency by 18% and cut the hallucination rate by 20%, improving both the speed and reliability of responses. ✅

• Situation: Existing quiz tools were either too rigid or too simple, lacking dynamic question management, proper session handling, and automated scoring in a single cohesive system. 🔵
• Task: Build a scalable backend system that supports quiz creation, user authentication, session management, and real-time score evaluation via a clean REST API. 🎯
• Action: Developed RESTful APIs using .NET Core with EF Core ORM for data access, applying a clean architecture with the repository pattern to separate controllers, services, and data layers. ⚙️
• Result: Delivered a robust, maintainable quiz backend with automated scoring logic and clearly decoupled architecture, ready for frontend integration or further scaling. ✅

🔗 GitHub Repository

• Situation: Hotels were losing significant revenue due to unexpected booking cancellations, with no data-driven mechanism to anticipate and respond to them proactively. 🔵
• Task: Build an end-to-end ML solution capable of predicting cancellations with high accuracy and expose it as a deployable web service. 🎯
• Action: Engineered a modular ML pipeline covering data preprocessing, feature engineering, logistic regression model training, and inference — then wrapped it in a Flask web application for production deployment. ⚙️
• Result: Achieved 81% prediction accuracy, delivering a production-ready tool that enables hotels to optimize resource allocation and reduce revenue loss from cancellations. ✅

🔗 GitHub Repository

• Situation: Heart disease remains one of the leading causes of death globally, yet early detection is often delayed due to the complexity of interpreting clinical data patterns. 🔵
• Task: Develop a classification model that accurately identifies patients at risk of heart disease using structured medical datasets. 🎯
• Action: Applied correlation analysis for feature selection, PCA for dimensionality reduction, and built an ensemble voting classifier with rigorous hyperparameter tuning and cross-validation to maximize generalization. ⚙️
• Result: Achieved 85% classification accuracy, producing a reliable diagnostic support tool with a well-documented, reproducible ML pipeline. ✅

🔗 GitHub Repository

• Situation: Gym administrators relied on manual or fragmented processes for member registration, attendance tracking, and financial reporting, leading to inefficiencies and errors. 🔵
• Task: Design a well-structured, object-oriented system in C# that centralizes gym operations and supports multiple membership tiers with real-time check-in tracking. 🎯
• Action: Applied SOLID principles throughout the design, using abstract classes and interfaces for member management, the strategy pattern for different membership tiers, and the observer pattern to trigger real-time check-in updates. ⚙️
• Result: Delivered a clean, extensible OOP system that streamlines member registration, automates attendance logging, and generates accurate revenue reports — demonstrating strong software design fundamentals. ✅

🔗 GitHub Repository

Jun 2026 – Aug 2026 (Present) | New Administrative Capital, Cairo, Egypt | On-site

• Selected for the NAID Summer Internship Program 2026 in the Computer Vision and Computational Algorithms Track.
• Participating in 10+ technical sessions on computer vision, AI for accessibility, and assistive technology.
• Developing a project proposal with a team of 3–5 students to create an AI-driven accessibility solution.
• Applying computer vision techniques to real-world problems including sign language recognition, gait analysis, and smart mobility.
• Collaborating with multidisciplinary teams in NAID engineering labs.

Mar 2026 – Present | Giza, Egypt | On-site

• Promoted to Mentor/Facilitator role, guiding members through software engineering principles and real-world development practices
• Design comprehensive project guidelines and conceptual frameworks to help teams structure and execute technical projects
• Produce and record technical tutorial sessions to scale knowledge-sharing across the student branch

Sep 2025 – Nov 2025 | Remote/Hybrid

• Engineered end-to-end solutions for 3 full-scale NLP projects using LangChain, LangGraph, RAG, and Hugging Face
• Applied classical (Tokenization, TF-IDF) to advanced deep learning architectures (Transformers, BERT)
• Optimized LLM applications through prompt engineering and state graphs for complex agent development

Jul 2025 – Aug 2025 | Remote/Hybrid

• Delivered 2 production-ready projects: Hotel Reservation Classification (Flask) and Uber Fare Prediction (Django)
• Built end-to-end ML pipelines including preprocessing, feature engineering, and model training
• Implemented scalable solutions through collaborative research and weekly presentations

Feb 2025 – Present | Giza, Egypt

Advanced Programming (Feb 2026 – Present)

• Guide students through complex OOP concepts using C++ and Java
• Facilitate hands-on programming labs in Linux/UNIX environments using GCC compilers

Design & Analysis of Algorithms (Feb 2026 – Present)

• Tutor students in algorithmic complexity, mathematical proofs, and core design techniques
• Instruct on greedy algorithms, divide-and-conquer, and dynamic programming

Intermediate Programming (CSCI112) (Feb 2025 – Jun 2025)

• Mentored 30+ students in C/C++ programming and debugging
• Received Certificate of Appreciation for exceptional teaching efforts (Spring 2025)

Dec 2025 – Mar 2026 | Giza, Egypt | On-site

• Selected as a member after a competitive evaluation process for technical excellence
• Participated in technical sessions, workshops, and team-based projects focused on software engineering principles and real-world development practices
• Collaborated with peers on coding tasks, system design discussions, and knowledge-sharing activities

• Artificial Intelligence: Deep learning architectures, NLP systems, LLM optimization
• Software Architecture: Scalable backend systems, clean code, design patterns, microservices
• Smart Systems: AI-driven automation, intelligent decision-making systems
• Energy Optimization: Efficient computing, resource-aware algorithms

• President's Honor Roll – Perfect 4.0 GPA, Nile University (Fall 2025) 🏅
• Dean's Honor Roll – GPA 3.8+/4.0, Nile University (Spring 2025) 🏅
• Certificate of Appreciation – JTA CSCI112 | Prof. Ahmed Elshafee, Nile University (Feb 2026)
• 21st UGRF Participant – CoreX Fitness project with team (Jan 2026) 🏅
• Google Developer Group NU – Backend workshops and quiz app prototyping (Feb 2025 – Jul 2025)
• NUCPA IT & Cheating Control Team – Certificate of Appreciation (Apr 2025)
• Web Development Using .NET – Information Technology Institute (ITI) (Aug – Sep 2025) 🌐
• ML & NLP Internship Certificates – Cellula Technologies (Jun – Nov 2025)
• Software Engineering Certificate – Nile University GDG (Feb – Jun 2025)
• Python & AI Certification – Ministry of Foreign Affairs (Dec 2024 – Feb 2025)
• Embedded Systems Training – Award for Fully Functional Project (Jan – Jul 2024)