Michael Mallari is a geospatial analytics and AI product leader with 11 years of experience turning AI from concept to production across regulated enterprises like Charles Schwab, Verizon, and American Express. He specializes in integrated solutions that combine product strategy, technical storytelling, and cross-functional execution to de-risk adoption through evidence-driven PoCs and decision-ready narratives. At Schwab he helped institutionalize a repeatable engagement model for AI adoption, and at Verizon he translated complex network capabilities into field-ready assets that drove launch readiness. He teaches cloud, data, and AI at Columbia University, bringing classroom rigor to practical enablement and talent development. Comfortable across AWS, Azure, GCP, and OCI, he blends an early software engineering foundation with MBA and MS credentials to bridge technical tradeoffs and executive decision-making. Based in Denver, he often operates where multiple teams, partners, and governance constraints intersect—turning ambiguity into measurable progress.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at New York Institute of Technology
High School Diploma, Computer Engineering, High School Diploma, Computer Engineering at Thomas A. Edison High School
Master of Business Administration - MBA, Master of Business Administration - MBA at University of Maryland
Finance & Accounting, Finance & Accounting at University of Pennsylvania
Master of Science - MS, Applied Analytics, Master of Science - MS, Applied Analytics at Columbia University
RESTful API—developed with WordPress/JSON API plugin and deployed to Heroku.
Contributions:15 pushes, 1 branch in 3 years 2 months
apiherokuapi-pluginwordpressrestful
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