Profile

Hi, I'm Ali

SWE @ Murex | CE student at Sorbonne University

About Me

I'm Lebanese and really into computer science and engineering. Outside of that, I love staying active with sports like weightlifting, tennis, and clay shooting. Currently based in Paris, I'm focusing on personal and professional growth while exploring opportunities for the future.

Technical Skills

Technologies & Programming Languages

JavaPythonCC++JavaScriptHTML/CSSReactNextJSDjangoTailWind CSSNativeWindReactNativeExpoPostgreSQLSQLite3FirebasePocketBasePandasScikit-learnFlaskFastAPIGithub WorkflowsDockerOcaml

Developer Tools

GitVS CodeVisual StudioPostmanDBeaverNgrok

Education

Sorbonne University

Computer Engineering

Sorbonne University

Sep 2021 - Aug 2026Paris, France

Experience

Murex

Software Engineer

Murex

Dec 2023 - PresentParis, France
  • Improved CPU performance by 2% in report generation by migrating from MEF (Murex's in-house C framework for OOP) to C++, resulting in faster processing times and enhanced system efficiency.
  • Refactored functions for better memory efficiency and optimized data representation, reducing memory footprint and improving overall application performance.
  • Removed deprecated APIs, enhancing code stability and security while ensuring compliance with modern development standards.
CytSoftware

Co-Founder & Software Engineer

CytSoftware

Sep 2024 - PresentParis, France
  • Delivered CMS-based web apps for two Qatari companies, providing tailored solutions that met specific business requirements.
  • Built web applications serving 250+ users, ensuring scalability, performance, and user-friendly interfaces.
  • Provided consulting services to firms in Dubai (pharmaceutical) and Jordan (e-commerce), offering technical expertise and strategic guidance.

Featured Projects

Gitshare screenshot

Gitshare

September 2024
Webapp
NextJSDjangoDigitalOceangitsshCI/CDSQLite3PostgreSQL

A GitHub repository sharing tool using Django and Next.js, allowing users to securely share private repositories without adding collaborators. Implemented a GitHub App authentication system, growing the user base to 250+ users. Optimized deployment by integrating a CI/CD pipeline, reducing manual deployment time by 60% and improving development efficiency.

SkinScan AI screenshot

SkinScan AI

April 2024
Machine Learning
PythonPytorchNgrokNextJSPandasSKLearnRender

Developed a machine learning model for skin tumor classification, predicting cancerous tumors with 85% accuracy on 11,000+ images using a DenseNet121-based architecture. Enhanced dataset quality by incorporating missing healthy skin samples and built an intuitive Next.js GUI for seamless user interaction.

Certifications

TOEIC

TOEIC

Score: 985/990
View Certificate
Java Programming 1

Java Programming 1

University of Helsinki
View Certificate

Get in Touch

Connect With Me