Olena Doroshenko
I’m an AR/XR and Unity developer with a background in computer science, applied mathematics, computer vision, and 3D visualization.
About
I’m an AR/XR and Unity developer with a background in computer science, applied mathematics, computer vision, and 3D visualization. My work focuses on building interactive systems that connect real-world data with immersive digital experiences, including mobile AR prototypes, sensor-driven visualizations, and user-centered 3D interfaces.
Recently, I developed an end-to-end AR hidden-object visualization system using Unity, AR Foundation, ARKit, MATLAB, Blender, and mmWave radar. The system classified concealed objects from radar data and displayed them as interactive 3D holograms on an iPhone, with real-time distance and confidence overlays. I also built a Unity-based AR photo album prototype with surface anchoring, image capture/import, photo processing, customization tools, and local data persistence.
My research experience includes computer vision and motion analysis work at West Virginia University’s Neural Engineering & Rehabilitation Lab, where I helped build a markerless motion-capture pipeline using DeepLabCut, depth estimation, MATLAB, and biomechanical modeling. Have experience with optimization, simulation, data analysis, and technical research communication.
I can work across the full prototype pipeline: programming, AR interaction design, 3D asset preparation, computer vision logic, sensor data integration, and clear user-facing visualization. I enjoy turning complex ideas into working demos that feel practical, understandable, and visually engaging.
- 3 years' experience
- Joined June 2026
Languages
- UkrainianFluent
- RussianFluent
- EnglishFluent
Industry experience
- Computers & Electronics
- Software & Internet
- Education
- Media & Entertainment
More experts in Pittsburgh, United States
Work experience· 5 roles
Built a mobile AR prototype in Unity using AR Foundation, ARKit, and iOS deployment. The application anchors a realistic 3D photo album on real surfaces and allows users to customize the cover, title, color, pages, and photo content. Implemented printed-photo scanning, direct camera capture, iPhone photo-library import, rectangle detection, edge refinement, cropping, JPG storage, JSON manifests, and a Google Drive backup pathway. This project developed my skills in mobile AR, interaction design, image processing, and user-facing prototype development.
Built a real-time AR system that uses 60 GHz mmWave radar to detect objects behind cardboard barriers and render the classified object as a holographic 3D model on iPhone with marker-free detection. Integrated TI IWR6843AOP radar, MATLAB, ARKit, and Unity to create an end-to-end sensing-to-visualization workflow. Designed 3D features and a dual-voting reliability mechanism with a weighted classifier for robust results.
Completed a sole-author computational research project comparing genetic algorithm, particle swarm optimization, and sequential quadratic programming methods for optimal pathfinding on nonlinear 3D terrain. Ran 60 matched simulations in MATLAB, analyzed runtime and path-cost performance, and validated performance differences using one-way ANOVA. The study was published on bioRxiv. This work strengthened my background in algorithm evaluation, mathematical modeling, optimization, statistical analysis, simulation, and technical research communication.
Education
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