David Ziganto
ML Engineering Manager at Northwestern Medicine
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolDavid Ziganto is a Head of Machine Learning Engineering with over a decade of experience turning cutting-edge AI research into mission-critical clinical and commercial systems. At Northwestern Medicine he established ML Engineering as a standalone function, deploying 40+ production models and building MLOps/LLMOps pipelines that cut time-to-production from quarters to weeks. He combines hands-on engineering—GPU/CPU optimization, SOTA computer vision, and agentic systems—with responsible innovation, embedding governance and ethical guardrails into every stage of the lifecycle. Previously he launched greenfield ML products using aerial imagery and photogrammetry and led advanced AI training programs, reflecting a rare mix of product delivery, teaching, and research fluency. Known as a player-coach, he builds technical organizations through mentorship, career ladders, and cross-functional collaboration with clinicians and researchers to safely accelerate healthcare innovation.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS Biology/Biological Sciences General, Bachelor of Science - BS Biology/Biological Sciences General at Dominican UniversityMaster of Engineering Electrical Engineering, Master of Engineering Electrical Engineering at Boston University
Github Skills (5)
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Github contributions (5)
dziganto/Data_Science_Fundamentals
Sep 2017 - Jun 2018
Contributions:143 commits, 119 pushes, 1 branch in 9 months
dziganto/Synthetic_Dataset_Generation
Jun 2017 - Jun 2017
Contributions:21 commits, 20 pushes, 1 branch in 6 days
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