I’m Eman Al-Shaikh Hussain, a Prompt AI Engineer at MenaDevs (May 2024–present) focused on training and evaluating large language models to improve reasoning and contextual accuracy. I have a Master’s in Computer Engineering with an AI/computer vision thesis on enhancing drone capabilities for human detection in catastrophic areas, and I’ve built practical AI solutions such as a face-recognition attendance system for HR. I also completed the Correlation One “Data Science for All” fellowship, where I worked on real-world business cases and presented insights through clear dashboards and data storytelling. I stand out for combining strong AI fundamentals with hands-on delivery, clean communication for technical and non-technical audiences, and a toolkit that includes Python, SQL, MATLAB, and BI/visualization tools (Looker Studio, Power BI, Tableau).

EMAN AL -SHAIKH HUSSAIN

I’m Eman Al-Shaikh Hussain, a Prompt AI Engineer at MenaDevs (May 2024–present) focused on training and evaluating large language models to improve reasoning and contextual accuracy. I have a Master’s in Computer Engineering with an AI/computer vision thesis on enhancing drone capabilities for human detection in catastrophic areas, and I’ve built practical AI solutions such as a face-recognition attendance system for HR. I also completed the Correlation One “Data Science for All” fellowship, where I worked on real-world business cases and presented insights through clear dashboards and data storytelling. I stand out for combining strong AI fundamentals with hands-on delivery, clean communication for technical and non-technical audiences, and a toolkit that includes Python, SQL, MATLAB, and BI/visualization tools (Looker Studio, Power BI, Tableau).

Available to hire

I’m Eman Al-Shaikh Hussain, a Prompt AI Engineer at MenaDevs (May 2024–present) focused on training and evaluating large language models to improve reasoning and contextual accuracy. I have a Master’s in Computer Engineering with an AI/computer vision thesis on enhancing drone capabilities for human detection in catastrophic areas, and I’ve built practical AI solutions such as a face-recognition attendance system for HR. I also completed the Correlation One “Data Science for All” fellowship, where I worked on real-world business cases and presented insights through clear dashboards and data storytelling. I stand out for combining strong AI fundamentals with hands-on delivery, clean communication for technical and non-technical audiences, and a toolkit that includes Python, SQL, MATLAB, and BI/visualization tools (Looker Studio, Power BI, Tableau).

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Language

English
Fluent
Arabic
Fluent

Work Experience

Prompt AI Engineer at MenaDevs
May 1, 2024 - Present
Training and evaluating large language models (LLMs) to improve reasoning and contextual accuracy.
Fellow at Correlation One
May 1, 2023 - August 1, 2023
Data Science for All Fellowship: selected to participate in a 14-week program with real-world data science business cases; presented findings via a one-page data folio using Looker Studio.
Teaching Assistant at AL-Yarmouk University
February 1, 2017 - June 1, 2019
Participated with Professors and Engineers in grading homework and programming assignments.

Education

Master's in Computer Engineering at AL-Yarmouk University
January 11, 2030 - January 1, 2021
Bachelor's in Computer Engineering at AL-Yarmouk University
January 11, 2030 - January 1, 2015
Advanced Software Development in Python at LTUC College University, Code Fellows
January 11, 2030 - January 1, 2022

Qualifications

Advanced Software Development in Python
January 11, 2030 - January 1, 2022

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