Summary
Sanzhar Askaruly is a Lead Researcher and R&D software engineer with 11 years of experience building efficient computer vision and AI-driven systems for biomedical devices, from high-performance servers to resource-constrained edge hardware. With a Ph.D. in Biomedical Engineering, he has led projects that delivered production features—real-time dashboards, >30% faster image stitching, whole-slide storage pipelines, and microscopy autofocusing—while also optimizing inference with ONNX for constrained deployments. He blends deep academic research (video otoscopy, phenomics screening, OCT and fundus imaging) with practical productization and clinical studies, having supported a clinical trial of an AI-assisted otoscope. Based in Seoul, he’s focused on scalable integration of device software into cloud environments and is known for translating complex image-processing math into robust, maintainable code and containerized microservices.
10 years of coding experience
2 years of employment as a software developer
B.S., Electrical and Electronics Engineering, B.S., Electrical and Electronics Engineering at Nazarbayev University
Combined M.S. and Ph.D. degree, Biomedical Engineering, GPA: 3.86, Combined M.S. and Ph.D. degree, Biomedical Engineering, GPA: 3.86 at Ulsan National Institute of Science and Technology
Kazakh, Russian, English, Turkish, Korean