English · العربية

Senior Software Engineer · Full-Stack Development · Mobile · AI

Building thoughtful digital experiences — from idea to production.
Riyadh, Saudi Arabia · Arabic & English

Portfolio  ·  LinkedIn  ·  Email  ·  Selected Work

I'm a senior software engineer focused on scalable full-stack applications, cross-platform mobile experiences, and AI-powered systems. I enjoy turning complex requirements into practical products, with clean architecture and maintainable code at the core.

At Entropy, I design, build, secure, optimize, deploy, and maintain a full-stack system end-to-end — spanning frontend, backend, databases, infrastructure, and integrations.

My background combines hands-on product development with machine-learning research. I graduated with honors in Computer Science from King Saud University, and my work includes a published case study on predicting flight delays using Saudi Arabian Airlines data.

• Full-stack web applications — React and Next.js interfaces backed by APIs and database-driven services.
• Cross-platform mobile apps — Flutter applications, alongside Kotlin and native Android development.
• Backend services & integrations — REST APIs using FastAPI, ASP.NET, and Spring Boot, connected to third-party systems.
• AI-powered products — machine-learning models, LLM integrations, and Python-based data workflows.
• Production infrastructure — cloud deployments, Docker, CI/CD, and Linux-based environments.

Senior Full-Stack Developer · October 2024–Present
Full-Stack Developer · December 2023–October 2024

• Own end-to-end engineering across frontend, backend, databases, infrastructure, and integrations.
• Build backend services and AI functionality with Python, and frontend applications with React and Next.js.
• Handle system security, performance optimization, deployment, and ongoing maintenance.

Software Developer Intern · June–September 2022

• Developed cross-platform mobile applications using Flutter.
• Built web applications using ASP.NET.

A graduation project applying machine learning to flight-delay prediction, with a web application that brings the models into a usable interface. The work also connects to my published research on Saudi Arabian Airlines data.

Stack: Python · FastAPI · React · HTML · CSS
Explore: Project overview · Research paper

A cross-platform application that uses ChatGPT to help users understand company financial results and the implications of corporate announcements for shareholders.

Stack: Flutter · FastAPI · AWS
Explore: Project overview & screenshots

A cross-platform PDF reader with selected-text translation into Arabic, text-to-speech, document search, and support for multiple open documents — designed to make reading and understanding content more convenient.

Stack: Flutter · Dart
Explore: Source code · Project overview

View my full portfolio → · Browse public repositories →

Predicting Flight Delays with Machine Learning: A Case Study from Saudi Arabian Airlines
Published March 2024

A machine-learning case study exploring flight-delay prediction using Saudi Arabian Airlines data.

Bachelor of Computer Science — with honors
King Saud University · September 2019–June 2023

I continue developing my skills across cloud platforms, machine learning, and software engineering, with 25+ certifications listed on my portfolio.

Selected credentials:

• Machine Learning Specialization — Coursera
• Laravel 9.0 Essential Training — LinkedIn Learning
• The Kotlin Learning Guide — Udemy

View all certificates →

Interested in discussing software engineering, product development, or collaboration? Get in touch.

• Email: ahmad.einieh@gmail.com
• LinkedIn: ahmad-einieh
• Portfolio: www.ahmadeinieh.com
• Stack Overflow: Ahmad Einieh