Elsayed Abd El Rahman

Machine Learning and Generative AI Engineer with experience in applied research and production-grade ML systems. Graduation project owner and published researcher in ML-based crop recommendation systems. Skilled in end-to-end ML pipelines, model explainability (SHAP), LLM-based applications, and cloud deployment on GCP, Azure, and Hugging Face.

Independent Machine Learning & AI Engineer | 2023 – Present

 Built and deployed end-to-end ML and AI solutions across multiple domains, achieving up to 100% accuracy with explainability using SHAP.

 Deployed production-ready models on Google Cloud, Microsoft Azure, and Hugging Face, reducing deployment time by 40%.

 Designed scalable data pipelines for both large-scale and small datasets, improving processing efficiency by 30%.

 Developed LLM-based applications using LangChain, including academic chatbots and intelligent assistants with Responsible AI principles.

 Conducted full ML lifecycle workflows including preprocessing (SMOTE, scaling, encoding), model training (RF, SVM, ANN), and evaluation using cross-validation.

El Shorouk Academy Cairo, Egypt

Bachelor's degree, Computer Science – Faculty of Computers and Information Technology