Looking for a job

Mohamed Hagag

@mohamedhagag

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I build production AI systems, from computer vision extraction pipelines to RAG customer-support assistants.

Egypt

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What I'm looking for

I'm looking to build production-ready AI applications, especially LLM/RAG, NLP, and computer-vision solutions, while continuing to grow through hands-on delivery, technical collaboration, and mentoring.

I've built end-to-end AI systems at Dr. Code, including a catalog product-extraction pipeline using YOLOv8, OCR, NLP, AWS Rekognition, and parallel processing that achieved 90%+ accuracy and cut processing time from six minutes to three seconds.

As an AI Engineer Mentor at Instant Software Solutions, I guide learners through production-ready ML, deep learning, NLP, computer vision, LLM, and RAG projects. I also bring data-analysis experience across Python, Power BI, SQL, and Excel, and am completing a Bachelor's in Computers and Artificial Intelligence at Benha University.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer Mentor

Current

Instant Software Solutions

Jan 2026 - Present (9 months)

Mentor students and junior engineers in AI and ML through hands-on projects and technical guidance. Contributed to collaboration with Orange Digital Center Egypt, guiding teams from data exploration to final delivery.

Machine Learning Deep Learning NLP Computer Vision LLM RAG Data Preparation Feature Engineering Model Development Evaluation Deployment

Current

AI Engineer (Freelance)

Current

Dr. Code

Jul 2025 - Present (1 year 3 months)

Built an end-to-end AI system for automated product extraction from catalog images using a multi-model pipeline, achieving 90%+ accuracy and reducing processing time from 6 minutes to 3 seconds. Developed a RAG-based customer support assistant using LangChain and Hugging Face embeddings.

YOLOv8 OCR NLP Amazon Rekognition Parallel Processing RAG Lang Chain Hugging Face ChromaDB Embeddings Semantic Retrieval Reranking Query Rewriting Context Compression Source

Data Analyst Intern

Brainwave Matrix Solutions

Feb 2025 - May 2025 (3 months)

Cleaned and integrated multiple datasets using Python, performed EDA, and built interactive Power BI dashboards to analyze sales trends and performance. Developed dashboards for supermarket sales, pizza restaurant sales, and sales performance, and analyzed TikTok user sentiment.