Hi, I'm Ahmed 👋

Computer Engineering student building full-stack apps, machine learning systems, and low-level software.

I graduated with a bilingual sign-language recognition platform as my capstone, and I build everything from Flutter apps and REST APIs to 3D medical-image segmentation models and interrupt-driven embedded firmware.

Featured — Graduation Project

Eshara — Bilingual Sign Language Recognition System

B.Sc. Graduation Project · AASTMT, Computer Engineering · July 2026

A real-time, bilingual (American Sign Language + Arabic Sign Language) web platform that recognizes letters and words from a standard webcam and turns them into text and chat messages. Built as a three-tier system — React frontend, Node.js/Express application layer, FastAPI inference layer — powering four independently-trained deep learning models.

0%

ASL Letters

0%

ArSL Letters

0% Top-1

ASL Words

0%

ArSL Words

Four models, four vocabularies

ModelArchitectureAccuracy
ASL LettersMLP on hand landmarks99.06%
ArSL LettersMLP on hand landmarks99.63%
ASL WordsInception I3D (100 WLASL glosses)65.89% Top-1
ArSL WordsStacked BiLSTM (100 KArSL classes)99.62%

Highlights

  • Real-time recognition across 4 modes: ASL/ArSL × Letters/Words
  • JWT-authenticated live chat where predictions become messages
  • Education Module: sign viewer, sentence builder, guided practice with feedback
  • Privacy-preserving inference — only compact landmark vectors leave the browser, not raw video

Projects

Selected work

Skills

Tools I work with

Languages

CC#PythonDartJavaScript/TypeScriptSQL

Frontend & Mobile

ReactNext.jsFlutterHTML/CSS

Backend

ASP.NET CoreNode.jsExpressFastAPIWinForms

Machine Learning

TensorFlow/KerasPyTorchscikit-learnOpenCV

Data & Infra

SQL ServerMongoDBChromaDBGitDocker basics

Systems

Embedded C (PIC)RISC-V / xv6 internalsTCP sockets

Contact

Let's build something together

I'm open to internships, junior roles, and collaborations across full-stack, ML, and systems engineering. Reach out any time.