Computer Vision Engineer with experience in applying deep learning solutions in various areas, like robotics, medicine and eye tracking. Has strong research skills and finds suiting best in innovative projects at the intersection of engineering and science.
Eye tracking with deep learning - from research and POC to final end-to-end pipeline. Created gaze estimation network outperforming SOTA.
Optimizing neural networks performance on Google Coral (TPU)
Conducting research studies and teaching students
I took activate part in 2 computer vision Kaggle competitions:
Stroke Etiology Classification: top 4% solution,
Blood Vessels Segmentation: did not choose solution that would give me top 5%,
and 1 tabular data competition:
Parkinson progression prediction
Ongoing computer vision competition:
Abdominal Trauma Detection
Object detection, semantic segmentation, synthetic datasets generation, stereo vision, path planning, robotics, ROS
I wrote two scientific papers:
https://link.springer.com/chapter/10.1007/978-3-031-16159-9_12 (4 citations)
https://link.springer.com/chapter/10.1007/978-3-031-16159-9_13
Face detection and anonymization on large scale aerial photos.