Professional Overview
Results-driven Computer Vision Engineer with 3 years of experience in medical data analysis. Skilled at all stages of CV system implementation: from data preparation to deployment and model evaluation. Proven success in solving complex segmentation, classification, and detection problems with algorithm accuracy exceeding 95%. Passionate about build
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed a cross-platform Qt/C++ app integrating real-time CV models.
- Built high-precision 3D deep learning segmentation models.
- Designed a hybrid two-stage pipeline combining 2D object detection.
Key Achievements / KPIs
- Achieved 20 FPS video processing.
- Consistently achieving segmentation algorithm accuracy exceeding 95%.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed a cross-platform Qt/C++ app integrating real-time CV models.
- Built high-precision 3D deep learning segmentation models.
- Designed a hybrid two-stage pipeline combining 2D object detection.
Key Achievements / KPIs
- Achieved 20 FPS video processing.
- Consistently achieving segmentation algorithm accuracy exceeding 95%.
Education
Field of Study: Robotics
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
