Kiana Nezami

As a AI Software Engineer with a rich academic and professional background, I proudly hold a recent master's degree from Concordia University, Canada, where I specialized in the Center for Pattern Recognition and Machine Intelligence. My thesis, "Comprehensive Facial Attractiveness Analysis with Stacked Regression and Geometric Angles" represents a significant milestone in my research career, especially following my comprehensive studies and research in applied mathematics and computer science across Iran and Canada. Beginning my academic journey at Shiraz University, Iran, with a bachelor’s in applied mathematics and a minor in Computer Science, I delved into Numerical Analysis at Amirkabir University of Technology for my master’s, focusing on Singular Value Decomposition for Face Recognition. This foundation set the stage for my subsequent research at Concordia University, where I significantly contributed to facial attractiveness analysis using machine learning, alongside publishing in esteemed journals and conferences. My professional journey is diverse, spanning Software Development, Machine Learning, Computer Vision, Data Science, Business Intelligence, Project Control, and Teaching. With proficiency in Python and Matlab, I craft efficient software solutions, enhance user experiences, and innovate in problem-solving strategies. Now thriving as a Machine Learning Engineer, my adaptability, organizational skills, and proficiency in NLP, SQL (MySQL, PostgreSQL), Tableau, and Power BI empower me to tackle new challenges and lead data-driven projects. My experience with Jira underscores my ability to meet project deadlines and budgetary constraints effectively. As I forge ahead, my commitment to Machine Learning and Data Science is unwavering. I am determined to leverage my expertise and passion to contribute meaningfully to these fields, driving forward innovations and advancements in technology. My dedication to education remains strong; I strive to inspire a growth mindset in peers and students, sharing insights in mathematics, programming, and AI/ML, and supporting their academic and professional growth.