Musaab Elsheikh is a Software Engineer at Scale AI, where responsibilities include developing LLMs and custom APIs utilizing Python libraries such as PyTorch, as well as implementing RESTful APIs with Flask and Django for back-end services and creating front-end UI components with Angular. Previously, Musaab served as a Data Analytics Researcher at NASK, focusing on clustering to generate weather data maps from NASA satellites and calculating the likelihood of forest fires using Python scripts for regression algorithms. Musaab holds a Bachelor of Science in Computational Modeling and Data Analytics from Virginia Tech and completed studies at George Mason University and South Lakes High School, earning an Advanced Diploma.
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