Alexander Gatto is a seasoned Machine Learning Engineer at Workday, with a career spanning from August 2016 to the present. Gatto has significantly contributed to financial applications, notably as a member of the Worktag Recommendations team, enhancing transaction efficiency through innovative frameworks that accelerated machine learning feature uptake. Additional roles include engineering pivotal systems for Workday Student, leading automation initiatives, and liaising between technical and management teams. Gatto's early career featured positions at Cornell University, Paperless Post, and Barclays, providing a diverse skill set in software development, financial analysis, and education. Gatto holds a Master of Engineering and a Bachelor of Arts in Computer Science from Cornell University.
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