Fawaz is a distinguished AI Engineer. He holds a B.Sc. in Computer Science from Babcock University, Nigeria. An expert in machine learning and large dataset management, with work experience in leading multinational companies as a Data Scientist and Machine Learning Engineer. Some notable projects Fawaz has worked on include application of BERT for high-quality text classification models, design, development, and deployment of intelligent chatbots (using OpenAI's LLMs, Langchain, FastAPI, and Docker). He contributed to building a fraud detection model for a leading bank using ANN, achieving 98% accuracy and 90% precision, as well as created a CNN model using Error Level Analysis (ELA) to differentiate between real and spoof images with a 98% accuracy and an AUC score of 0.9. Additionally, he has deployed analytics solutions using Flask and developed a demand forecast model, both of which enhanced client productivity and customer retention. Fawaz is skilled in the Python programming language, AzureML, Numpy, Pandas, Scikit-Learn, BERT, Keras, PySpark, computer vision, inferential statistics, Microsoft Power BI etc.