Available for internships — Cairo, Egypt

I'm
Mario
Nasser

_
Huawei HCIA-AI Certified

CS sophomore at Cairo University FCAI building full-stack web platforms and AI-powered systems — from deployed React/Node apps to PyTorch computer vision models trained on real medical data.

View CV & Files Let's Talk
mario_nasser.ts
const developer = { name: "Mario Nasser Fawzy", role: "Full-Stack + AI Engineer", uni: "Cairo University FCAI", cert: "Huawei HCIA-AI", stack: [ "React", "Node.js", "PyTorch", "MongoDB" ], available: true }; // currently building: BudgetWise.deploy() // → live ✓
7+
Projects
4
Languages
2
Years Coding
React /  Node.js /  Python /  TypeScript /  PyTorch /  MongoDB /  SQL Server /  Java /  Django /  Git /  JWT Auth /  CNN /  React /  Node.js /  Python /  TypeScript /  PyTorch /  MongoDB /  SQL Server /  Java /  Django /  Git /  JWT Auth /  CNN / 
Mario Nasser Fawzy
7+ Projects Built
About Me

Full-Stack &
AI Developer

I'm Mario Nasser Fawzy, a CS sophomore at Cairo University's FCAI drawn to problems that live at the intersection of clean software architecture and intelligent systems. I build things end-to-end — from database schema design and REST APIs to React frontends and trained CNN models. My third and fourth years are planned around AI specialization.

EducationB.Sc. Computer Science, FCAI-CU (Expected 2028)
CertificationHuawei HCIA-AI (2024)
LocationGiza, Egypt · Open to remote
LanguagesArabic · English · German
My trajectory
Year 1
AI Foundations — CNNs, neural networks, PyTorch, trained a brain tumor detection model from scratch.
Year 2
Web & Systems — Deployed full-stack React/Node apps, relational databases, SOLID engineering, UML documentation.
Tech Stack

Skills &
Expertise

Every skill here was applied in a shipped project or a graded course — not tutorial certificates. The focus is full-stack engineering and AI/ML, with software design principles running through both.

Frontend

ReactTypeScriptJavaScript ES6+HTML5CSS3Tailwind CSSResponsive Design

Backend & APIs

Node.jsExpress.jsDjangoRESTful APIsMVC / MVTSwagger Docs

Databases

MongoDBMongooseSQL Server (SSMS)MySQLSQLiteERD DesignPower BI

AI & Machine Learning

PyTorchCNNsNeural NetworksImage ProcessingData AugmentationPython

Security

JWT AuthbcryptHTTP-only CookiesMiddleware SecurityBrute-force Protection

Tools & Deployment

Git & GitHubNetlifyLeapcellVercelVS CodePyCharmDraw.io

Languages

PythonJavaScriptTypeScriptJavaC++SQL

Software Design

SOLID PrinciplesOOPUML (Class, Sequence, State)HLD / LLDDesign PatternsMVC
Huawei HCIA-AI — Certified ICT Associate in Artificial Intelligence
Issued by Huawei Technologies · 2024 · Neural networks, CNNs, deep learning theory & implementation
Verified ✓
Featured Work

Selected
Projects

Real projects — deployed, documented, and engineered with production-level thinking. Each one reflects a specific domain: web platforms, database systems, and AI models.
budget-wisefcai.vercel.app
BudgetWise
Live & Deployed

BudgetWise
Personal Finance Platform

Full-stack personal finance app — React/TypeScript frontend, Node.js/Express REST API backend, MongoDB with SOLID principles. Built as a CS251 Software Engineering team project with full UML documentation.

JWT auth, bcrypt, HTTP-only cookies, brute-force lockout
Service Layer + Discriminator pattern (MongoDB Mongoose)
18+ REST endpoints, fully documented via Swagger UI
Deployed: Vercel (frontend) + Vercel(backend)
ReactTypeScriptNode.js ExpressMongoDBJWT SwaggerSOLID
Live Site View Code
smart-warehouse · SQL Server + Node.js
Smart Warehouse
Database & Backend

Smart Warehouse
& Inventory System

A B2B warehousing platform built on a fully custom relational database — designed from conceptual ERD to physical schema to full DDL/DML execution in SQL Server.

Designed ERD from scratch: conceptual → physical → SSMS execution
Manages multi-location client storage agreements
Reporting engine for employee performance & inventory analytics
Visualized in Power BI with custom dashboards
Node.jsJavaScriptSQL Server Power BIERD DesignDDL/DML
View Code
brain-tumor-cnn · PyTorch
Brain Tumor CNN
AI / Computer Vision

Brain Tumor
Detection CNN

A convolutional neural network trained from scratch to classify brain tumor types from MRI scans — a real medical imaging problem tackled with deep learning in Year 1.

Multi-class tumor type classification from MRI scans
Custom augmentation pipeline: rotation, flipping, normalization
Trained end-to-end with PyTorch, tuned to reduce overfitting
PyTorchCNN PythonImage ProcessingData Augmentation
Repo coming soon
f1-race-strategy · SQL + Excel
F1 Analysis
Data Analysis

F1 Race Strategy
Data Analysis

Self-initiated data analysis project exploring Formula 1 race strategy using a Kaggle historical dataset — combining genuine F1 passion with real analytical methodology.

Relational joins: races, drivers, qualifying, pit stops, outcomes
Finding: 2 pit stops is statistically optimal (adjusted for rain)
Top-3 qualifying strongly correlates with race victory probability
SQLExcel Pivot Tables Data VisualizationKaggle Dataset
Repo coming soon
Also on GitHub: C++ Image Filter Toolkit (14 algorithms), Java OOP Calculator, Django Web App, UML Architecture Docs github.com/Mario-Nasser
Get In Touch
Let's
build
something
great.

Open to internships, collaborations, and interesting problems. I respond within 24 hours — reach out through any channel.

mario.nasser2006@gmail.com +20 111 686 1333 linkedin.com/in/mario-nasser github.com/Mario-Nasser View CV & Files on Drive