
Rafik Sameh
@rafiksameh
I build production AI systems for healthcare automation, insurance prediction, and clinical decision support.
What I'm looking for
I'm building end-to-end AI solutions at Andalusia Group for Healthcare Services, integrating LLMs, RAG, and agentic AI with enterprise data for healthcare operations.
I develop AI/ML systems for insurance prediction, clinical decision support, patient workflows, and conversational automation, translating business needs into scalable solutions with measurable impact.
My projects include a multi-agent quality assurance system for call-center monitoring, a lab approval prediction agent using historical data and insurance rules, and an HR RAG chatbot for policy questions, auditing, and memory handling.
I've also worked on driver-behavior monitoring, internet-traffic forecasting, and satellite-image waterflood segmentation. My hands-on stack includes Python, TensorFlow, PyTorch, LangChain, LangGraph, CrewAI, FastAPI, Docker, SQL, and vector databases.
Experience
Work history, roles, and key accomplishments
Mid-Level AI Engineer
Andalusia Group For Healthcare Services
Dec 2025 - Present (9 months)
Develop and deploy end-to-end AI solutions for healthcare operations, including LLM, RAG, and agentic AI systems integrated with enterprise data. Build AI/ML solutions for insurance prediction and clinical decision support, and translate business needs into scalable AI solutions with measurable impact.
Internship in Data Science
Eventum Solutions
Jul 2025 - Oct 2025 (3 months)
Performed time series analysis using SARIMA, ARCH models, and deep learning methods. Developed large language models and AI agents, and deployed models to production.
Internship in Computer Vision
Cellula Technologies
Feb 2025 - Apr 2025 (2 months)
Worked on real-world problems such as teeth disease classification and shop thief detection, using satellite images and pre-trained models for segmentation, classification, and object detection. Deployed models using Flask and FastAPI.
Internship in Machine Learning and Data Analysis
Cellula Technologies
Sep 2024 - Nov 2024 (2 months)
Dealt with complex datasets and applied exploratory data analysis. Worked on hands-on projects using machine learning algorithms and deployed models using Flask, Django, and FastAPI.
Education
Degrees, certifications, and relevant coursework
Alexandria University
Bachelor of Engineering, Communication and Electronics Engineering
2020 - 2025
Grade: 3.00
Pursued a degree in Communication and Electronics Engineering, graduating with a GPA of 3.00.
Availability
Location
Authorized to work in
Skills
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