Jeddah, Makkah, Saudi Arabia
As a Junior AI Engineer at Arabot, with a Bachelor's degree in Artificial Intelligence from the University of Jeddah, I focus on leveraging AI technologies and methodologies. My work emphasizes AI agents, natural language processing (NLP), and retrieval-augmented generation (RAG) systems to drive impactful solutions. My background includes completing the SAP Young Professionals Program, earning certifications in SAP Integration Developer and S/4HANA Public Cloud Implementation. I have also honed my expertise in AI Programming with Python and digital marketing through Udacity Nano Degrees. Passionate about applying AI to real-world challenges, I aim to contribute to innovative projects that create meaningful change.
• Conducting data analysis and preprocessing, applying Exploratory Data Analysis (EDA) techniques to identify patterns and insights. • Developing and fine-tuning machine learning models, improving accuracy through feature engineering and hyperparameter tuning. • Implementing NLP pipelines for text processing, sentiment analysis, and summarization. • Fine-tuning Large Language Models (LLMs) to enhance performance and response generation. • Deploying AI models using Flask and Streamlit, ensuring efficient real-time inference and seamless integration. • Participated in a company-wide AI hackathon, leading a team to win first place by developing an innovative and impactful AI solution.
- Applied foundational and advanced machine learning concepts in real-world tasks. - Built and trained ML models using classical algorithms (e.g., Linear Regression, Decision Trees). - Developed and tested models using TensorFlow and JAX frameworks. - Conducted data preprocessing, feature engineering, and evaluation. - Collaborated with peers to implement machine learning pipelines end-to-end. - Gained hands-on experience with model tuning and performance optimization.