Open to opportunities

Aliaa Khaled

@aliaakhaled

Message

Computer Science graduate skilled in full‑stack .NET development and data science.

Egypt

Message

What I'm looking for

I seek a role where I can apply .NET full‑stack and data science skills on impactful projects, learn from experienced teams, and grow toward machine learning and backend specialization in an innovative, collaborative environment.

I am a Computer Science graduate (Bioinformatics) with hands‑on experience in full‑stack .NET development, Angular frontend work, and machine learning for medical imaging. My graduation project achieved a 4.0/4.0 GPA for developing a CNN-based brain tumor detection and classification system and a user-friendly API.

I completed intensive training at the Information Technology Institute in .NET backend and Angular frontend, and a Data Science diploma covering Python, statistics, web scraping, and machine learning. I built multiple projects including an eCommerce site with full CRUD and user roles, and a SQL-based examination system with optimized schemas and automated result calculations.

I volunteer in large-scale event organization and accessibility initiatives, and I continuously upskill through courses on C#, design patterns, SQL, and statistical methods. I am detail-oriented, problem-solving focused, and eager to contribute in software development or data science roles.

Experience

Work history, roles, and key accomplishments

Current

Volunteer Organizer

Current

Helm Organization

Dec 2023 - Present (1 year 11 months)

Organized and delivered training events in collaboration with Vodafone Egypt, coordinating activities for up to 1,000 participants focused on disability inclusion.

Event Coordination Training Delivery Volunteer Management

Current

Full Stack Web Developer Intern

Current

Information Technology Institute

Nov 2023 - Present (2 years)

Completed an intensive .NET backend and Angular frontend training track, building full-stack web projects and applying C#, Entity Framework, SQL, and front-end technologies to deliver functional applications.

C++.NET Angular SQL HTML CSS JavaScript Entity Framework OOP

Current

Quality Control Volunteer

Current

Daem National Network of Economic Empowerment

Apr 2022 - Present (3 years 7 months)

Supported quality control for distributed content and product listings to ensure compliance with distribution requirements and readiness for broader dissemination.

Quality Assurance Content Review & Compliance Attention To Detail Communication Documentation

Bachelor of Computer Science

Cairo University

Jan 2019 - Jul 2023 (4 years 6 months)

Graduated B.Sc. in Computer Science (Bioinformatics major) with a 3.2/4.0 GPA; completed a 4.0/4.0 graduation project developing a CNN-based MRI brain tumor detection and classification API.

Bioinformatics Convolutional Neural Networks Python Image Processing SQL Data Analysis Machine Learning

Organizer / Registration Volunteer

Techne Summit

Mar 2023 - Mar 2023 (0 months)

Volunteered on the registration team for Techne Summit 2023, managing attendee registration workflows and resolving ticketing issues for over 20,000 participants.

Customer Service Problem Solving Communication Ticketing

Data Science Trainee

Instant & Orange Digital Centre

Sep 2022 - Nov 2022 (2 months)

Completed a data science diploma covering mathematics, statistics, Python, web scraping, and introductory machine learning techniques applied to practical datasets.

Python Statistics Data Cleaning Web Scraping Machine Learning Pandas NumPy Data Visualization

Education

Degrees, certifications, and relevant coursework

Cairo University

Bachelor of Computer Science, Bioinformatics

2019 - 2023

Grade: 3.2/4.0 (Very Good)

Activities and societies: Graduation project: Brain Tumor Detection and Classification using CNN; participated in internships and training programs including Full Stack Web Development (.NET/Angular) and Data Science diploma.

Bachelor of Computer Science with a major in Bioinformatics; completed a graduation project on brain tumor detection and classification using CNN models and an API for model use.