Ahmed Ashraf

AI Engineer with a strong foundation in Artificial Intelligence and Computer Science. Specializing in designing, developing, and optimizing machine learning and deep learning models to solve complex challenges in NLP, computer vision, predictive analytics, and deploying intelligent AI solutions powered by Large Language Models (LLMs). Experienced in prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, model fine-tuning, and building scalable AI applications to solve complex real-world challenges.

Proficient in integrating modern AI frameworks, implementing MLOps practices, and deploying production-ready systems. Passionate about leveraging generative AI technologies to drive innovation, enhance decision-making, and deliver impactful business solutions.

AI & ML Engineer Intern - Electropi - Cairo, Egypt

(2023-08 - 2023-12)

Key AI & ML Projects:

• Applied deep learning and NLP techniques for sentiment analysis, medical image diagnosis, and disaster tweet classification.
• Developed machine learning models for customer segmentation and personalized marketing using supervised and unsupervised learning.
• Automated ML workflows and performed exploratory data analysis to extract actionable insights and improve decision-making.

Data Science Intern - TechnoHacks EduTech - Nashik, India

(2023-08 - 2023-10)

Key Data Science Projects

• Developed ML models for email spam detection using Scikit-learn and NLP techniques (TF-IDF, CountVectorizer).
• Analyzed sentiment in social media posts using NLTK and spaCy to extract audience insights.
• Built predictive models to forecast employee turnover and optimize retention strategies.

Bachelor of Computer Science and Artificial Intelligence - Department of Artificial Intelligence - Benha University (2020-09 - 2024-07)

AI/ML Training - ITI (Information Technology Institute) (2023-08 - 2023-10)