Talent-22092
Talent-22092
AI Developer
Middle
Egypt
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Professional Summary
Ehab is a multidisciplinary AI and automation engineer with a background in engineering and applied AI development. He began his career as a mechanical engineer, later transitioning into the IT field after completing advanced studies at Egypt’s Information Technology Institute (ITI) in Smart Village, specializing in AI and Machine Learning.
His core expertise spans intelligent automation, machine learning model integration, and AI-driven process design. Ehab has built end-to-end automation systems from design to production, primarily using UiPath, Power Platform (Power Automate, Power Apps, Power BI), and AWS Lambda. He has also worked on integrating OpenAI, Hugging Face, and document intelligence models into automated workflows—bridging traditional RPA with modern AI-driven automation.
Currently, at Tropicquity (UK-based), he continues to deliver AI-driven solutions focused on automation efficiency and workflow optimization.
AI/ML Tools: OpenAI, Hugging Face, Document Intelligence, NLP & Computer Vision models
Automation Platforms: UiPath, Power Automate, Power Apps, AWS Lambda, Zapier (basic familiarity)
Programming Languages: Python, JavaScript, Node.js
Visualization & BI Tools: Power BI, Qlik / Kibana dashboards (data visualization and monitoring)
AI/Automation Approach: Strong experience in building new automation systems from scratch, not only maintaining existing ones
Video of Talent
Portfolio
Education
Bachelor – Mechanical Engineering
Engineering Alexandria University
Certifications and Trainings
Experience
AI and Automation Engineer – VOIS (2023-08-01 – )
Developed automation workflows using UiPath and AWS Lambda.
•Integrated Google Cloud Platform with UiPath to automate document upload to GCP
buckets, enhancing workflow efficiency and cloud storage management.
•Built end-to-end RAG models to extract answers from complex documents.
•Worked on prompt engineering using OpenAI and LangChain.
•Created PoCs for AI agents with LangGraph.
•Developed document understanding solutions using Azure AI services.
•Contributed to automation projects using Microsoft Power Apps.
•Collaborated with cross-functional teams to deliver AI solutions aligned with business
needs.
•Developed and deployed Azure Cloud Functions to support backend automation tasks
and integrate cloud services into enterprise workflows.
AI/Machine Learning Trainee – Information Technology Institute (2022-10-01 – 2023-07-01)
Built machine learning projects covering both supervised and unsupervised learning
techniques.
Developed deep learning models for various use cases, including image and text data.
Processed and visualized datasets using tools like Pandas, NumPy, Matplotlib, and
Seaborn.
Built and fine-tuned NLP models for text classification and generation tasks.
Worked on computer vision projects involving object detection and image classification.
Mechanical Maintenece Engineer – LAMAR (2022-02-01 – 2022-10-01)
Collected comprehensive data sets from TetraPak Machines in processing, filling, and DE
sections, including sensor readings and machine stoppage information.
Utilized traditional tools such as Excel to perform detailed analysis of the collected data,
identifying patterns and insights related to package waste and production
inefficiencies..
Collaborated with cross-functional teams to develop data-driven recommendations for
process optimization and waste reduction.
The implementation of these strategies resulted in improved operational efficiency and
waste reduction..
Projects
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