Vlad Kuz
Data Science Platform Engineer
New York, New York, United States
Summary
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Top SchoolVlad Kuz is a senior software engineer and Data Science Platform Engineer in New York with seven years of experience building MLOps and production ML systems. He helped architect and deploy ML pipelines at a pathology startup—co-founding OpenCell AI to deliver a leukemia-detection model with 96% validation accuracy—and later translated that applied ML experience into platform work at Iodine/Waystar. At FINRA he bridged data scientists and regulators to productionalize models and automated CI/CD workflows that saved significant developer time. He combines hands-on cloud deployments (AWS ECS/EC2, S3, RDS) with practical startup experience from a Weill Cornell accelerator where his team won business-plan funding. Vlad’s background in math and CS from Rutgers and his mix of research, regulatory, and product-facing roles give him a strong ability to move models from prototype to reliable, auditable services.
7 years of coding experience
3 years of employment as a software developer
Bachelor's degree Mathematics and Computer Science, Bachelor's degree Mathematics and Computer Science at Rutgers University
Russian, Ukrainian
Github Skills (8)
object-detection7
tensorflow6
python5
yolov55
computer-vision5
machine-learning4
mold4
deep-learning4
Programming languages (6)
Github contributions (5)
vladthesav/DL-From-Scratch
Jul 2019 - Jan 2020
Contributions:19 commits, 18 pushes, 1 branch in 5 months
vladthesav/MoldAI
Sep 2019 - Dec 2020
computer vision app that classifies mold
Contributions:29 commits, 30 pushes, 1 branch in 1 year 3 months
pythonmoldvisiondeep-learningcomputer-vision
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