About

Over 4 years of experience in machinelearning and computer vision. Experienced in creating recommendation engines,customer retention systems, NLP and image recognition / segmentation systems using Deep Learning.

Ability to learn quickly and has a results-oriented approach. Possesses strong analytical abilities.

Technologies

Skills

Deep learning

Keras, Tensorflow,  PyTorch

Deep learning

API-frameworks(Falcon, FastAPI, Flask, aiohttp),Celery, PyMongo, aioredis

Machine learning

NumPy,Pandas, SciPy, Matplotlib, Seaborn, sklearn, OpenCV, xgboost, catboost, NMSLIB, hyperopt

Languages

Python,  C++

Technologies

Docker, Elasticsearch, Redis,RabbitMQ, VCS (git), FAISS

Other

AWS, GCP, Task trackers (asana, Redmine, Jira), Methodologies (scrum) 

Soft Skills

Communication

80%

Team play

60%

Result-focus

100%

Responsibility

40%

Flexibility

100%

Resilience

80%

Openness to new

60%

Learning agility

60%

Inspiring

40%

Organizing others

100%

Education

2014 - 2018

South Ural State University.Bachelor's degree.

Institute of Natural and ExactSciences. Mathematical Methodsin Economics and Finance.

Chelyabinsk

2018

Coursera Introduction to TensorFlow.

Online Course

2017

Coursera Mathematics and Python for Data Analytics.

Online Course

20217

Coursera
Learning from Placed Data.

Online Course

2017

Coursera
Finding Structure
in Data.

Online Course

Work experience