Professional Overview
Development of automation systems for manufacturing processes using computer vision and neural networks. - Developed industrial computer vision systems. - Built object detection pipelines using YOLO. - Developed image segmentation models based on U-Net. - Optimized inference for NVIDIA Jetson devices. - Created datasets and annotation pipelines us
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed industrial computer vision systems
- Built object detection pipelines using YOLO.
- Developed image segmentation models based on U-Net
- Optimized inference for NVIDIA Jetson devices.
- Created datasets and annotation pipelines using CVAT.
Key Achievements / KPIs
- Developed AOI system for detecting external defects on microchips
- Developed a computer vision solution for early Fusarium detection in wheat
- Developed a real-time system for monitoring granule size on a conveyor
- Developed a real-time system for monitoring the level of a boiling layer
Education
Field of Study: Radio Engineering
Field of Study: Radio Engineering
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.
