Machine Learning Architect at IBM Db2, specializing in integrating ML techniques to optimize database query performance. I led the development of five Python frameworks that streamline and semi-automate complex data science workflows. Beyond product development, I manage research collaborations between IBM and leading Canadian universities, driving innovation at the intersection of databases and AI. With 11 scientific publications, 2 issued patents, and 8 patent filings, my work spans research and practical ML applications. I actively share insights through regular blogs on LinkedIn and Medium. I hold a master’s degree from the University of Waterloo and am currently pursuing a Ph.D. in machine learning at York University.