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mohamed sameh

@mohamedsameh4

AI/ML Engineer focused on RAG and LLM applications; built Gandalf, a datasheet RAG system with evaluation and API serving.

Egypt

Message

I built Gandalf, an end-to-end datasheet RAG application that combines PDF ingestion, semantic retrieval across prose and tables, and LLM-generated answers grounded in retrieved sources.

For Gandalf, I developed separate processing paths for prose and tables, integrated embeddings, ChromaDB, and the Groq LLM API, and created a RAGAS-based evaluation workflow. I also served the pipeline through FastAPI and deployed a Streamlit prototype on Hugging Face Spaces.

As a Machine Learning Intern at EME Innovation Hub, I applied regression, classification, clustering, and dimensionality-reduction techniques to real-world datasets. My other projects include a student department prediction system, a face-verification system, and a functional tissue-processing prototype.

Experience

Work history, roles, and key accomplishments

Military Service

Egyptian Armed Forces

Apr 2025 - Jun 2026 (1 year 2 months)

Compulsory national service.

Machine Learning Intern

EME Innovation Hub

Aug 2022 - Oct 2022 (2 months)

Applied regression, classification, clustering, and dimensionality-reduction techniques to real-world datasets using Python and scikit-learn. Built preprocessing and modeling workflows for highly imbalanced datasets using resampling, SMOTE, and cost-sensitive learning.

Python scikit learn regression Classification Clustering Dimensionality Reduction SMOTE Cost Sensitive Learning data preprocessing Model Selection

Education

Degrees, certifications, and relevant coursework

Assiut University

Bachelor of Science, Computer and Control Systems Engineering

Grade: Very Good (77.8%)

Bachelor of Science in Computer and Control Systems Engineering from the Faculty of Engineering, Assiut University, graduated in July 2024 with a grade of Very Good (77.8%).