A devoted artificial intelligence engineer with a MSc in Aerospace Engineering from Khalifa University, specializing in AI, Machine Learning, Computer Vision, and Natural Language Processing. Experienced in Python progra…
A devoted artificial intelligence engineer with a MSc in Aerospace Engineering from Khalifa University, specializing in AI, Machine Learning, Computer Vision, and Natural Language Processing. Experienced in Python programming, data science, and data analysis.
Conducted EDA and clustering on credit card data for deep analysis.
Applied traditional ML for accurate head pose estimation.
Developed a robust system for State Farm using computer vision.
Implemented advanced NLP for effective comment moderation.
Extracted data for insights and curation using Scrapy.
Guided students to adopt a systems thinking approach in aerospace engineering problem-solving.
Emphasized interconnectedness, encouraging holistic problem formulation and analysis.
Incorporated real-world examples to illustrate interdisciplinary connections within thermofluids and aerospace engineering.
Guided students in practical applications, enhancing their proficiency in engineering design (SolidWorks) and computational analysis (MATLAB).
Instructed diverse age groups in fundamental Computer Science concepts, cultivating a keen interest in coding applications.
Utilized Python (Numpy, Sklearn, Seaborn, Matplotlib, Pandas) to impart practical coding skills and problem-solving techniques to students.
Developed and delivered engaging lesson plans and interactive activities, accommodating various learning styles and abilities.
Monitored student progress, offering personalized support and feedback to ensure comprehension and mastery of coding concepts.
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