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I am a results-driven Machine Learning Engineer with over 2 years of experience specializing in NLP, Computer Vision, and Deep Learning. I enjoy developing scalable machine learning models and deploying production-ready AI systems using tools like Flask and Docker. My passion lies in applying AI expertise to solve complex, real-world problems efficiently. Throughout my career, I have worked on various projects involving LLM-powered systems, OCR services, and topic modeling for multiple languages including English and Arabic. I am enthusiastic about continuously learning and leveraging AI technologies for impactful solutions.…I am a results-driven Machine Learning Engineer with over 2 years of experience specializing in NLP, Computer Vision, and Deep Learning. I enjoy developing scalable machine learning models and deploying production-ready AI systems using tools like Flask and Docker. My passion lies in applying AI expertise to solve complex, real-world problems efficiently. Throughout my career, I have worked on various projects involving LLM-powered systems, OCR services, and topic modeling for multiple languages including English and Arabic. I am enthusiastic about continuously learning and leveraging AI technologies for impactful solutions.

Mona Mamdouh

AI Engineer, Data Scientist, Developer, +2

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I am a results-driven Machine Learning Engineer with over 2 years of experience specializing in NLP, Computer Vision, and Deep Learning. I enjoy developing scalable machine learning models and deploying production-ready AI systems using tools like Flask and Docker. My passion lies in applying AI expertise to solve complex, real-world problems efficiently. Throughout my career, I have worked on various projects involving LLM-powered systems, OCR services, and topic modeling for multiple languages including English and Arabic. I am enthusiastic about continuously learning and leveraging AI technologies for impactful solutions.…I am a results-driven Machine Learning Engineer with over 2 years of experience specializing in NLP, Computer Vision, and Deep Learning. I enjoy developing scalable machine learning models and deploying production-ready AI systems using tools like Flask and Docker. My passion lies in applying AI expertise to solve complex, real-world problems efficiently. Throughout my career, I have worked on various projects involving LLM-powered systems, OCR services, and topic modeling for multiple languages including English and Arabic. I am enthusiastic about continuously learning and leveraging AI technologies for impactful solutions.

Available to hire

I am a results-driven Machine Learning Engineer with over 2 years of experience specializing in NLP, Computer Vision, and Deep Learning. I enjoy developing scalable machine learning models and deploying production-ready AI systems using tools like Flask and Docker. My passion lies in applying AI expertise to solve complex, real-world problems efficiently.

Throughout my career, I have worked on various projects involving LLM-powered systems, OCR services, and topic modeling for multiple languages including English and Arabic. I am enthusiastic about continuously learning and leveraging AI technologies for impactful solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Arabic

Advanced

Work Experience

Machine Learning Engineer at Intalio

February 28, 2025 - July 26, 2025

Integrated LLM-powered Retrieval-Augmented Generation (RAG) systems for intelligent document querying across PDF repositories. Fine-tuned LayoutXLM models to extract key-value relationships from structured documents. Implemented topic modeling pipelines using BERTopic, LDA, and NMF for insights extraction from English and Arabic datasets. Built object detection systems using YOLOv9 and developed a table recognition OCR service with PaddleOCR. Deployed end-to-end systems into production environments using Flask and Docker.

Artificial Intelligence Engineer at Orbits

January 1, 2024 - July 26, 2025

Built object detection systems using YOLOv5/7 and SSD for street-level distortion detection. Developed APIs using Flask for model inference and integrated the models with mobile applications.