Klivvr
Kirolos Rezkalla is a Data Scientist II at Klivvr since August 2023, where significant contributions include the development of a fraud detection model using Isolation Forest, a user segmentation clustering model, and a personalized financial advice chatbot using the Gemini Pro LLM. Previous roles include a Software Engineer at Octane, focusing on R&D with a notable achievement in developing an OCR-based machine learning system for fuel pump image fraud detection, and experience as a Full-stack Developer and Intern at qpix. Kirolos has also completed web development internships, served as a Computer Science Junior TA at The German University in Cairo, and worked in customer service and 3D printing internships. Kirolos holds a degree in Computer Engineering from The German University in Cairo, expected to graduate in 2023.
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