Skip to content
View FatmehS's full-sized avatar
😎
Learning
😎
Learning
  • United Arab Emirates, Dubai
  • 20:40 (UTC +04:00)
  • LinkedIn in/fatmehshaal

Block or report FatmehS

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
FatmehS/README.md

Hi there 👋

I am Fatmeh Shaal, an AI Engineer interested in learning about machine learning, GenAI, Computer Vision, and NLP.

Education 📘

  • 👩‍💻Bachelor Degree in Computer Science --> American University of Sharjah
  • 👩‍💻Masters Degree in Computer Science and AI --> University of York

Professional Experience

  • Solution Architect
  • AI-Data Scientist
  • Full Stack AI Engineer

Certifications

  • Azure AI Fundementals 900
  • Nutanix Certified Professional

Tech Stack

Languages:
Python, JavaScript

AI / Machine Learning:
Machine Learning, Deep Learning, Generative AI, Computer Vision, NLP
PyTorch, Scikit-learn

Data & Databases:
Pandas, NumPy, SQL

Backend & APIs:
Node.js, REST APIs

Cloud & DevOps:
Docker, CI/CD, Cloud Platforms

Tools:
Git, Linux

Popular repositories Loading

  1. Task-Management-API Task-Management-API Public

    A FastAPI-based service for managing tasks, featuring secure user authentication with JWT, task CRUD operations, and role-based access control. The project uses Docker for containerization and Post…

    Python

  2. Lung-Disease-Classification-Computer-Vision Lung-Disease-Classification-Computer-Vision Public

    Jupyter Notebook

  3. FatmehS FatmehS Public

  4. AI-Knowledge-Base-Agent-for-Real-Documents AI-Knowledge-Base-Agent-for-Real-Documents Public

    A full-stack AI Knowledge Base application built with the MERN stack, leveraging Retrieval-Augmented Generation (RAG) to enable intelligent, source-aware conversations with real documents.