Programming Languages
- Python
- Java
- C++
- Dart
- HTML
- CSS
- JavaScript
AI Engineer in Progress
AI & Intelligent Systems Student
A passionate Artificial Intelligence student at Horus University focused on Machine Learning, Deep Learning, and Software Engineering — building real-world systems through hands-on projects.
01 · About
About Me
AI & Intelligent Systems Student | Aspiring Machine Learning Engineer
A passionate Artificial Intelligence student at Horus University focused on Machine Learning, Deep Learning, and Software Engineering. Strong interest in building real-world systems, solving technical problems, and continuously improving programming and analytical skills through practical projects.
Career Goals
- Become a professional Machine Learning Engineer
- Build real-world AI systems and intelligent applications
- Strengthen expertise in Machine Learning and Deep Learning
- Improve software engineering and backend development skills
- Work on impactful AI technologies and advanced technical systems
Personality & Work Style
- Practical learner who prefers building projects over pure theory
- Strong passion for AI and software development
- Interested in solving technical and analytical problems
- Continuously improving technical skills through hands-on learning
- Focused on long-term technical growth
02 · Skills
Technical Skills
Languages, fundamentals, AI specializations, and the tools I reach for daily.
07
Core Computer Science
- Object-Oriented Programming (OOP)
- Data Structures
- Problem Solving
- Algorithm Design
- Cross-Platform App Development (Flutter)
- Backend Development
- REST APIs
- Numerical Computing
AI & Data
- Machine Learning
- Deep Learning
- Artificial Intelligence Fundamentals
- Numerical Methods
- Modern Regression
- Data Analysis
Tools & Environments
- VS Code
- Android Studio
- Firebase
- Jupyter Notebook
- Spyder
- Anaconda
- PyCharm
- CLion
- IntelliJ IDEA
- Git
- GitHub
03 · Expertise
What I Do
Three focus areas where I build, learn, and ship — from intelligent systems to data-driven interfaces.
AI & Machine Learning
Developing intelligent systems at Horus University's Faculty of AI. Specialized in Deep Learning, advanced numerical analysis, and Ordinary Least Squares (OLS) regression models to solve complex mathematical problems.
- Machine Learning
- Deep Learning
- Numerical Analysis
Backend Development
Engineering robust backend architectures and clean RESTful APIs using Java and Spring Boot. Focuses on modular OOP design, CPU process scheduling simulators, and high-performance algorithms.
- Java 17+
- Spring Boot 3.x
- REST APIs
Frontend & Visualization
Crafting highly responsive scientific dashboards and interactive web UIs. Experienced in rich web visualizations using Next.js 14, ECharts, Plotly, Streamlit, and modern Tailwind systems.
- Next.js & Streamlit
- ECharts & Plotly
- Interactive UI
04 · Projects
My Work
Here are some of my recent projects — interactive, real-world systems built end-to-end.
SwiftShop — Flutter E-Commerce
A high-performance, cross-platform E-Commerce platform built with Flutter and backed by Firebase. Engineered with real-time Firestore database synchronization, secure multi-provider authentication (Email & Google OAuth), dynamic catalog filtering, and a responsive mobile-first web architecture deployed via automated CI/CD.
- ✦End-to-End Real-Time Architecture: Instant Firestore synchronization for cart state, wishlist management, and live order tracking.
- ✦Secure Multi-Provider Auth: Integrated Firebase Authentication supporting Email/Password and Google OAuth sign-in flows.
- ✦Interactive Storefront & Search: Dynamic promotional carousels, category filtering chips, instant keyword search, and detailed product specifications.
- ✦Automated CI/CD Pipeline: Production-ready web build pipeline automated with GitHub Actions and hosted on Vercel.
FlutterDartFirebase AuthCloud FirestoreVercelGitHub ActionsREST APIs
Smart Regression & Data Insight System
A production-grade statistical inference and regression dashboard. Driven by a FastAPI backend acting as the single source of mathematical truth, it handles closed-form Ordinary Least Squares, full ANOVA decomposition, t-tests, standard errors, and Cook's distance for influence detection, complete with client-side interactive ECharts and dynamic server-generated PDF reporting.
- ✦Full statistical inference engine (ANOVA, two-sided p-values, 95% CIs, F-statistics)
- ✦Six dynamic ECharts diagnostic plots (residuals, leverages, Cook's distance, correlation heatmaps)
- ✦Plain-English diagnostic recommendation system for outlier & multicollinearity detection
- ✦Interactive 5-step workflow: upload, configure, visualize, statistical analysis, and report export
FastAPIPython 3.12Next.js 14TypeScriptTailwind CSSNumPy / SciPyEChartsReportLabPlaywright / Pytest
Advanced Numerical Calculator
An interactive web laboratory that turns textbook numerical-methods syllabi into a hands-on learning dashboard. Built with Streamlit and Plotly, it implements seven classical numerical analysis algorithms from scratch, showcasing animated convergence plots and lecture-accurate step-by-step LaTeX walkthroughs.
- ✦Seven core algorithms: Doolittle LU, Gauss-Seidel, False Position, Newton-Raphson, Newton's Forward, Stirling, and Lagrange
- ✦Animated convergence animations via Plotly with play/pause and per-iteration step controls
- ✦Lecture-accurate step-by-step mathematical walkthroughs rendering matrices, difference tables, and formulas using LaTeX
- ✦Pure-Python numerical engine with strict shape and value validations, entirely decoupled from the UI
PythonStreamlitPlotlyNumPyPandasKaTeX
04 · Projects · Total ProjectsOpen Projects Catalog
Explore All Projects
Discover full-stack applications, Flutter mobile apps, AI models, and algorithmic simulators.
4 Total Projects
·4 Specialized Categories05 · Education
Education
Academic foundation in Intelligent Systems and Artificial Intelligence.
Bachelor's Degree
Horus University — Faculty of Artificial Intelligence
Bachelor's Degree in Intelligent Systems (Artificial Intelligence)
Academic Hours Progress
Earned Hours68
Needed Hours66
Total Program Hours134
GPA
3.78
/ 4.00Relevant Coursework
- Introduction to Artificial Intelligence
- Probability & Statistics
- Modern Regression
- Operations Research
- Numerical Methods
- Database Systems
- Data Structures
- Web Programming
- Programming 2
- Programming 1
- Advanced Calculus
- Calculus
- Linear Algebra
Certifications & Achievements
Explore the industrial trainings, academic honors, and professional credentials I've earned.
06 · Contact
Get In Touch
Feel free to reach out for collaborations, opportunities, or just to say hello.