Aya Fawezy Atya· Cairo, Egypt
WorkPathToolboxAvailable

AI Engineer - Est. 2026

Interfaces
with a pulse.

I am a Computer Science and Artificial Intelligence undergraduate at Misr University for Science and Technology, where I focus on software development, AI algorithms, data science, and neural networks. My passion lies in designing and deploying end‑to‑end machine learning and deep learning models for real‑world applications. I have built award‑winning projects such as Dignova, which secured 1st place at the YTA‑AI Competition, and contributed to research on multi‑task oral cancer detection. Beyond academia, I am actively expanding my practical AI skills through an AI Diploma with Instant and certifications from NVIDIA and Huawei. I thrive in collaborative environments, leveraging my strong technical foundation in Python, PyTorch, and cloud‑scale data pipelines to solve complex problems. I am eager to bring my expertise in AI model development, full‑stack engineering, and automation to a forward‑thinking organization.

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Portrait of Aya Fawezy Atya
CurrentlyBooking Q3 2026

1yrs

Building products

2

Featured projects

1×

Roles shipped

30

Tools in kit

Selected work

2 collaborations. Each one shipped and still running.

Edman — Volunteer Coordination Platform01
FlutterCase study

Edman — Volunteer Coordination Platform

Built for the Egyptian Anti‑Drug Fund. Developed a full‑stack platform comprising a Flutter mobile app, React.js admin dashboard, and NestJS backend. Implemented triple‑guard authentication, TypeORM entities, Redis TTL caching, and Haversine proximity detection. Extended the platform with an AI‑powered feedback summarization microservice using FastAPI and Ollama (Qwen2.5 7B).

  • Flutter
  • React.js
  • NestJS
Dignova — AI‑Powered Application02
PythonCase study

Dignova — AI‑Powered Application

Awarded 1st Place – Best Application at the YTA‑AI Competition. Solely designed, trained, and deployed DL models: DenseNet‑121 V2 for chest X‑ray multi‑label pathology classification and EfficientNet‑B4 with a custom Attention Gate for bone fracture multi‑class classification. Applied cosine LR scheduling, class‑weighted loss, data augmentation pipelines, and ImageNet‑pretrained backbones fine‑tuned for medical imaging.

  • Python
  • PyTorch
  • Torchvision

The path

1 years, 1 rooms

  1. 2026 - Now

    Participant — AI Automation Track

    Digital Egypt Pioneers Initiative (DEPI)

    Developing practical skills in AI automation and applying AI‑driven approaches to real‑world workflows. Building experience with AI tools, automation‑oriented problem solving, and integrating intelligent solutions into practical tasks.

Toolbox

Sharp tools, quietly used

Craft

  • Python
  • C++
  • SQL
  • Dart
  • Pandas
  • NumPy
  • Matplotlib
  • Power BI
  • Tableau
  • Excel
  • Prophet
  • MediaPipe
  • OpenCV
  • Deep Learning
  • Neural Networks

Systems

  • PostgreSQL
  • TypeORM
  • Redis
  • Arduino
  • Raspberry Pi
  • ROS
  • LiDAR
  • PCA9685
  • Servo Motors
  • Serial Communication
  • Git
  • GitHub
  • Figma
  • Linux
  • Docker

Currently

Working as Participant — AI Automation Track at Digital Egypt Pioneers Initiative (DEPI).
2026 - Now

Available

Taking on projects for Booking Q3 2026.
Start a project

Next chapter

Let's make something worth keeping

Booking Q3 2026. Tell me what you're building, I reply within a day.

ayafawzyatya78@gmail.com

© 2026 Aya Fawezy Atya - Built with Portify

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