Position: Machine learning engineer
Category: Python
English level: intermediate
Years of experience: 5

Developed a solution for image analysis in real estate (object detection, image classification), achieved an accuracy of ~90%, build up a system for serving models in the cloud. Developed blood cell counting solution.
Experience developing computer vision solution using deep learning methods, building machine learning pipeline.
Experience in Image Classification, Object Recognition
The toolbox includes Python, Keras, Tensorflow, Numpy, OpenCV, Pandas, also 
Flask, Kubernetes, Docker, Google Cloud.

Courses: 
- Machine learning from Stanford (Coursera),
- Stanford's Deep Learning for Computer Vision CS231n.

4 years of experience as a .NET software engineer.
Interesting project in deep learning and computer vision fields, team of open-minded machine learning enthusiasts, knowledge sharing and professional growth.