Mohamed Abdallah
@mohamedabdallah1
AI engineer specializing in production agentic systems, vision-language models, and healthcare AI.
What I'm looking for
I am an AI engineer with hands-on experience building production agentic systems, vision-language models, and healthcare AI solutions. I have designed and deployed multiple specialized agents and state-of-the-art models for medical imaging, report generation, and sports analytics.
My work includes architecting production-grade Agentic RAG systems using LlamaIndex and graph-based approaches, optimizing system latency by 67%, and deploying real-time conversational interfaces such as WhatsApp integrations. I have fine-tuned large models (e.g., Qwen 3, Helsinki-NLP) and improved translation, retrieval, and generation metrics across projects.
I lead practical computer vision efforts—implementing YOLO-based detection, pose estimation, and Vision Transformer fine-tuning—and have delivered measurable impacts such as higher clinical accuracy on radiology tasks, improved retrieval accuracy, and scalable containerized deployments.
Experience
Work history, roles, and key accomplishments
AI Developer
Medina Innovations
Jan 2025 - Present (1 year 1 month)
Designed and deployed agentic RAG and multi-agent nutrition systems, reducing system latency by 67% and delivering real-time WhatsApp interfaces and CV pipelines for sports performance feedback.
Generative AI Engineer Intern
Digital Egypt Pioneers Initiative
Apr 2024 - Present (1 year 10 months)
Fine-tuned translation and semantic models achieving 63.14 BLEU (AR→EN) and implemented a semantic code search that improved retrieval accuracy to 85% while reducing latency by 40%.
Data Scientist Intern
Product Manager Accelerator
Oct 2024 - Dec 2024 (2 months)
Architected and containerized an AI-powered RAG resume transformation system that processed 100+ resumes, cut manual formatting time by 90%, and delivered 99% production uptime.
AI Developer Intern
RASID
Dec 2023 - Jan 2024 (1 month)
Fine-tuned Vision Transformer to 92% classification accuracy and deployed YOLOv8 instance segmentation for football players achieving 0.75 mAP, improving targeting efficiency by 40%.
Graduate Project Lead
El Shorouk Academy
Led development of an automatic radiology report generator by fine-tuning Qwen 3 and curating a multimodal dataset, improving RadGraph by 23% and BERTScore by 19% over baseline.
Education
Degrees, certifications, and relevant coursework
University of the People
Bachelor of Science, Computer Science
2021 - 2025
Grade: 3.2
Bachelor of Science in Computer Science at University of the People, covering core CS topics and practical AI/ML skills.
El Shorouk Academy
Bachelor of Engineering, Biomedical Engineering
2020 - 2025
Grade: Good
Activities and societies: Head of Machine Learning Community GDSC El Shorouk Academy; IEEE course instructor for ML, Feature Engineering, and Deep Learning.
Bachelor of Engineering in Biomedical Engineering at El Shorouk Academy with focus on medical imaging and ML, completed coursework and a graduation project on automated radiology report generation.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
boghdady.my.canva.siteJob categories
Skills
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