Mark Ward is a Senior Machine Learning Engineer based in Denver with 11 years of experience building and productionizing ML systems for high-growth SaaS and healthcare companies. He has led technical strategy and engineering teams to design Kubernetes-based serving architectures hosting thousands of real-time models, cut deployment times from days to hours, and reduced prediction latency by an order of magnitude. At Vivun and previously Teladoc and pymetrics he blended hands-on modeling with platform engineering to move ML from research into reliable, scalable products. Trained in mathematics and data science (Fordham, NYU, Columbia), he pairs rigorous quantitative background with practical engineering chops. Outside work he’s an avid endurance athlete who applies the same data-driven curiosity to optimizing personal health and fitness metrics.
11 years of coding experience
10 years of employment as a software developer
Master of Science (MS), Data Science, Master of Science (MS), Data Science at New York University
Computer Science, Computer Science at Columbia University in the City of New York
Bachelor of Science (BS), Mathematics, Senior, Bachelor of Science (BS), Mathematics, Senior at Fordham University
Contributions:74 commits, 41 pushes, 1 branch in 11 days
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Mark Ward - Senior Machine Learning Engineer at Vivun