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Salma Mohammed hamedSH
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Salma Mohammed hamed

@salmamohammedhamed

AI engineer specializing in ML, deep learning, and LLM systems.

Egypt
Message

What I'm looking for

I seek roles where I can build and deploy robust, research-driven AI systems (CV/NLP/multimodal), collaborate with engineers, and grow in production ML and model-safety responsibilities.

I am an AI engineer focused on turning research-driven methods into scalable, real-world AI solutions across computer vision, NLP, speech, and multimodal applications. I have hands-on experience in model optimization, adversarial robustness, LLM fine-tuning, RAG, and deploying models with Docker and production pipelines.

My background includes research projects that improved robustness (e.g., U-Net Dice from 0.36 to 0.94 and major reductions in NLP/ASR attack success), internships delivering ML integration and QA automation, and building end-to-end systems such as multimodal video summarizers, domain-specific LLMs for Verilog generation, and soccer video analytics.

Experience

Work history, roles, and key accomplishments

AL
Current

AI Engineer Intern

Al-Arcade

Aug 2025 - Present (10 months)

Researching and developing AI agent architectures and RAG-based QA systems for gamified solutions, and integrating ML models into production pipelines to deliver client-facing features.

SI

Researcher — Graduation Project

Si-Vision

Oct 2024 - Jul 2025 (9 months)

Conducted adversarial ML research across vision, NLP, LLMs, and ASR, implementing attacks and defenses and improving model robustness (e.g., U-Net Dice from 0.36 to 0.94; NLP attack success reduced 76.91%).

Education

Degrees, certifications, and relevant coursework

Cairo University logoCU

Cairo University

Bachelor of Engineering, Electronics and Communications Engineering

2020 - 2025

Grade: 81% (Very Good)

Activities and societies: Graduation project on adversarial attacks and robustness in deep learning; participated in Siemens 5G internship and related diplomas.

Pursuing a Bachelor in Electronics and Communications Engineering with coursework and projects focused on AI, embedded systems, and communications, completed in 2025 with a GPA of 81% (Very Good).

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