Position: Machine learning engineer, Computer Vision Engineer
Category: Data Science
English level: fluent
Years of experience: 4


I have great experience building consumer-focused, practical AIs. My journey in ML started with Natural Language Processing where I invested many hours. After that, I became fascinated by computer vision and deep learning and I am still growing by constant research and building personal projects. I am confident that my knowledge and experience will be an asset to your organization.

Aside from personal projects such as classifiers, spam detectors, and others that helped me enhance my knowledge, my responsibilities in the professional industry have included the development of an e-commerce chatbot for one of the largest companies in my country. Currently, I and our team were responsible for developing word-level sign language detection for the Azerbaijani language which requires deep knowledge of computer vision. Throughout my whole experience, I have developed and implemented various CV models such as AlexNet, ResNets, VGG16, MobileNet, Inception for classification, I3D (Inflated 3D CNN) for action recognition in videos, and object detection models such as YOLO and others. My last project was the implementation of face detection based on the MobileNetV2 model for mobile devices.