Kritika Iyer is an AI/ML architect and biomedical engineer with eight years of experience applying deep learning, computer vision, and CFD to medical imaging and device development. She earned an NSF GRFP fellowship, completed a PhD at the University of Michigan modeling complex vascular hemodynamics, and built neural networks and synthetic-data pipelines for automatic coronary segmentation and 3D reconstruction used in downstream CFD diagnostics. At Siemens Healthineers she progressed from intern to senior deep learning scientist and now architect, shipping image and text analytics solutions and custom object-detection models for clinical pipelines. Her background spans wet-lab tissue modeling and medical device prototyping—from 3D wound-healing constructs and neonatal NIRS sensors to hydrogel TAVI leaflets—giving her rare fluency across bench, device, and algorithm. She combines production ML engineering (TensorFlow, PyTorch, Python, C++) with domain expertise in cardiovascular mechanics to translate clinical questions into deployable AI-driven diagnostics.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at University of Michigan
Lynbrook High School
Bachelor of Science (B.S.), Bioengineering and Biomedical Engineering, Bachelor of Science (B.S.), Bioengineering and Biomedical Engineering at University of California, Los Angeles
Contributions:30 commits, 5 pushes, 1 branch in 2 years 1 month
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