A graduate of 2023 with a Bachelor's degree in Computer and Information Science from Ain Shams University, graduating with a CGPA of 3.121/4.
My graduation project involved developing AI software for diagnosing cardiovascular diseases using deep learning techniques.
I recently completed my military service and am excited to rejoin the professional world.
I have hands-on experience in backend development, having worked as a Junior Software Engineer at Gen System.
My expertise includes building enterprise applications using technologies like .Net, Laravel, JavaScript, and MSSQL Server
In addition to technical work
I also hold certifications in HCIA-AI and HCIP-AI EI-Developer, which reflect my commitment to staying updated with cutting-edge technologies.
I am passionate about AI and backend development, creating efficient solutions, and continuously learning to improve my skills.

Software Engineer | .NET Backend Developer (In Progress)
📍 Cairo, Egypt | ✉️ Email | 📞 +201013456137 | 🔗 LinkedIn

I'm a motivated and detail-oriented Software Engineer with a strong foundation in Computer Science and hands-on experience in software development. Currently pursuing advanced studies in .NET backend development, with a focus on building scalable and efficient web applications.

I thrive in Agile environments, enjoy collaborating with cross-functional teams, and adapt quickly to new technologies. Passionate about backend development, AI, and clean code, I'm seeking opportunities to apply and expand my skills while contributing to impactful projects.

Programming Languages:
C#, .NET, Python, Java, C++, SQL, JavaScript, TypeScript, HTML/CSS

Backend Development:
ASP.NET Core, Entity Framework, RESTful APIs, MVC Architecture

Databases:
SQL Server, MySQL, Supabase

AI/ML:
Machine Learning, NLP, Deep Learning (TensorFlow, CNN, RNN)

Tools & Frameworks:
Visual Studio, Git, FlutterFlow, Figma , .Net

Bachelor of Computer and Information Science
Ain Shams University, Cairo, Egypt (2019 – 2023) | CGPA: 3.121/4

Graduation Project: AI Software for Cardiovascular Disease Diagnosis

• Developed a deep learning-based system to interpret ECG data (95% accuracy).
• Tech Stack: Python, TensorFlow, Data Analysis.

Junior No-code/Low-code Developer @ GenSystems (Remote | Aug 2023 – Dec 2023)

• Built scalable apps using FlutterFlow & Supabase, improving efficiency by 30%.
• Automated workflows and integrated third-party APIs with security best practices.

Junior Software Engineer @ Titan Cement Egypt (Onsite | Jul 2022 – Oct 2022)

• Developed data pipelines and a mobile app using Python & Flutter.
• Enhanced legacy code via OOP refactoring and built RESTful APIs.

Competitions:

• 🥉 3rd Place – ML Competition (Player Value Prediction) @ Ain Shams University.
• 🥈 2nd Place – NLP Competition (Fake News Detection) @ Ain Shams University.

Certifications:

• HCIP-AI EI Developer (Huawei) – AI Development (Image, Speech, NLP).
• HCIA-AI (Huawei) – ML Algorithms (SVM, Decision Trees, GANs) & DL Architectures.

• ECG Diagnosis Tool: Deep Learning model (95% accuracy) – Python, TensorFlow.
• Sports Image Classification: CNN-based model optimization.
• Fake News Detector (NLP): TF-IDF, Logistic Regression (Competition Winner).

• .NET Ecosystem: ASP.NET Core, Entity Framework, Microservices.

• 🌱 I’m currently learning Design Patterns, Advanced Concepts in .Net

• 👨‍💻 All of my projects are available at https://github.com/AlaaAhmed23?tab=repositories

• 💬 Ask me about C#, .Net, MSSQL Server , Python , AI

• 📫 How to reach me alaaahmed8912019@gmail.com

• 📄 Know about my experiences https://drive.google.com/file/d/10KrsIIiIRytqK2J2OyLUBMzpG8D3izjD/view?usp=sharing