Collaborating closely with auditors, data scientists, and engineers, I strive to thoroughly understand their needs and craft solutions that span constructing Machine Learning models, advanced natural language processing (NLP) using Transformers and large language models (LLMs), implementing state-of-the-art Anomaly Detection with Graph Neural Networks and building prototypes and PoCs. I possess a keen proficiency in model evaluation and fine-tuning techniques, MLOps concepts, in addition to containerization and orchestration platforms. Utilizing ML tools such as Amazon SageMaker, Amazon Bedrock, and other technologies, I design, evangelize, and implement solutions for novel problems, encompassing large-scale data processing and modelling from initial requirements definition to solution design and implementation.

Serving as a Customer Advisor, facilitating the selection and implementation of Generative AI and Machine Learning technologies, and generating material to support knowledge sharing and adoption of AI-driven audit solutions. My role involves not only applying technical skills but also leveraging my business acumen to unblock and empower data scientists/BIEs.

Prior to my current role, I have a proven track record of success, having led the design, integration, and UAT for Vodafone Egypt’s fraud management system, which resulted in significant cost savings and recognition from the Vodafone technology director. I also integrated 30+ new data sources into the Vodafone revenue assurance platform within four months, leading to a platinum certification for the Vodafone Egypt's revenue assurance team. Prior to Vodafone, I achieved 2nd place in the Intergraph global award for outstanding software customization at PGESCo, which saved hundreds of man hours. I presented my automation achievements at the HxGn live conference in 2016.

Educationally, I hold a Master of Science degree in Analytics with distinction from the Georgia Institute of Technology, specializing in computational data analytics and AI, and a Bachelor of Science in Mechatronics Engineering with high Honors from the German University in Cairo. My academic projects, including the development of an intelligent algorithm for quadcopter navigation at Technische Universität München's fortiss research institute, demonstrate my deep technical foundation and innovative thinking.

Beyond technical achievements, my entrepreneurial spirit has led me to engage in various ventures, serving as a technical advisor for an AI Techstars finalist startup in the hospitality industry and co-founding a fast-food restaurant and a solar energy startup, the latter of which placed third in the Marburg University entrepreneurship competition. My diverse experience, combining deep technical expertise with business acumen and entrepreneurial drive, positions me uniquely to lead and innovate in the rapidly evolving field of machine learning and AI.