Computer Vision Engineer
Artificial Intelligence Engineer
Available for hire
Years of
experience
4+ years
Experience
level
Junior
I/ML researcher in medical image analysis with experience developing methods for vertebral detection, segmentation, and 3D reconstruction from radiographs. Strong background in biostatistics and regression modeling for heterogeneous clinical data analysis. Experienced in translating clinical problems into machine learning solutions and integrating them into physician-facing workflows. Currently investigating physics-informed neural networks for biomechanically consistent modeling and predictive medical applications. Driven to advance medical image analysis for treatment planning and outcome prediction.
Skills
Employment History
Research Assistant at
Novosibirsk Research Institute of Traumatology and Orthopedics n.a. Ya.L. Tsivyan
2022
-
2026
* Conducted statistical analysis of heterogeneous clinical datasets across 37 projects, including preprocessing, hypothesis testing, survival analysis, and regression modeling, producing clinically interpretable results that supported multiple publications and improved reliability of medical conclusions
* Developed a deep learning pipeline (YOLO, U-Net) for vertebral detection and segmentation from X-ray images ([email protected]: 0.90, DICE: 0.94), enabling automated 3D reconstruction and computation of sagittal balance parameters, and integrated the solution into clinical workflows via 3D Slicer
* Designed and curated annotated medical imaging datasets in collaboration with clinicians, resulting in a registered patent for machine learning applications
* Collaborated with physicians to translate clinical requirements into machine learning solutions, validate model assumptions, and ensure interpretability of results for clinical use
* Developing physics-informed neural networks (PINNs) for biomechanically consistent spine modeling, aiming to replace computationally expensive numerical simulations with data-driven approximations
* Applying PINN-based approaches to surgical planning and rehabilitation outcome prediction
Education
Master of Software Engineering at
Saint Petersburg Electrotechnical University "LETI"
2023
-
2025
Bachelor of Computer Science and Engineering at
Siberian State University of Telecommunications and Information Science (SibSUTIS)
2018
-
2022