Position: Machine Leaning Engineer
Category: Data Science
English level: upper
Years of experience: 4


I was working with different ML/DL tasks such as image classification (VGG, ResNet, MobileNet, Inception), object detection (SSD, RetinaNet, RCNN, Fast-RCNN, Faster_RCNN) and semantic segmentation (U-Net), instance segmentation (Mask-RCNN). 

I was designing end-to-end AI web-services for further deployment. 

I participated in the process of certification by NVIDIA as preferred deep learning partner.

I’ve developed end-to-end production Deep Learning-based solution for crop boundary detection from the Sentinel-2 satellite images using SOTA instance segmentation techniques, worked with time-series satellite data to create ML models for crop recognition and yield prediction.
Getting experience and projects related to data science and machine learning, especially Neural Networks, CNN and Deep Learning, Computer Vision;