Saira Kazmi is an award-winning VP of Engineering and AI/ML practitioner with over a decade of experience building data-driven products that move from research to production at scale. She has led and grown diverse engineering and science teams of up to 50 people, governed multi-million dollar budgets, and delivered measurable business impact including >$30M annual savings and 3x ARR growth through disciplined product and platform work. Her track record spans modernizing monoliths into microservices, achieving SOC 2 and ISO 27001 compliance, and operationalizing MLOps and agentic engineering practices across regulated enterprises. Notable technical wins include Themescape—reducing analytics processing from days to minutes—and pioneering an enterprise Computer Vision Platform that became a company-wide MLOps standard and spawned patents. She also teaches and advises executives on translating AI strategies into measurable outcomes through her workshops and board roles, blending academic rigor (PhD/postdoc) with pragmatic delivery. Based in New York, she combines scientific depth and software engineering craftsmanship to embed AI into mission-critical business workflows.
10 years of coding experience
13 years of employment as a software developer
Postdoctoral Fellow Medical Informatics, Postdoctoral Fellow Medical Informatics at Yale School of Medicine
PhD Computer Science and Engineering, PhD Computer Science and Engineering at University of Connecticut
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