About

Qusai Onali is an upcoming MAC Grad at Wilfrid Laurier University and a Professional Certificate holder in Product Management from the University of Maryland. He is a Programmer, Problem Solver, Full-Stack Developer, Data Scientist, and Tutor with over a year of relevant experience. Qusai's passion for programming began at the age of 16 when he picked up a programming textbook and created his first program. He later pursued his Bachelor's Degree in Information Technology and fell in love with Python and JavaScript. Despite these languages not being part of his curriculum, he continued to learn and work on them as a freelancer, building web pages, websites, games, and apps. During his time at university, Qusai's fascination for Web-Apps, Data, and Artificial Intelligence (AI) grew deeper, leading him to work on various projects that are open-sourced on his GITHUB profile. He has worked as a Software Engineering Intern and a Machine & Deep Learning Research Intern at Bhaskaracharya Institute for Space Applications and Geo-informatics, where he devised machine learning models competent in classifying candidate exoplanets from the raw dataset. He also worked as an Undergraduate Researcher at G H Patel College of Engineering & Technology, where he engineered a Deep Learning GAN model architecture that generates life-like furniture images with 83.27% accuracy to learn 3D Volumetric Data Reconstruction and Generation. Qusai's education history includes a Bachelor of Technology in Information Technology Engineering from G H Patel College of Engineering & Technology, a Professional Certificate in Product Management from the University of Maryland, and he is currently pursuing a Master of Applied Computing (Co-op) in Mathematics and Computer Science from Wilfrid Laurier University. Qusai's tech stack includes product management, research scientist, JavaScript, web development, Python, Deep Learning, Machine Learning, AI, Random Forest, Data Science, and Java. He is open to discussing opportunities for hire, answering questions, or simply having a chat.