Position: Backend Developer
Category: Python
English level: intermediate
Years of experience: 4


Backend developer
GSpot

Developed databus service for data delivery between services
Crafted Python automation scalable workers for sending mail and real time notify client Created the ability to cache client data
Developed real time web application for notify clients
Coverage with test and documentation of developed services
Used: FastAPI, MongoDB, RabbitMQ, Docker, Redis, Redis PubSub, WebSocket, asyncIO

Backend developer 
Fatcode
Developed an online platform for a language learning school
Designed, developed, and implemented python sandbox service for testing user code
Created a real time application chat for customers and integrate it with a third-party
platform
Coverage with test and documentation of developed services
Used:  FastAPI, PostgreSQL, WebSocket, Django, Docker, Docker-compose, Redis, asyncIO, Django Rest Framework

Backend Developer
Deepskills
Storage of user data using yandex cloud storage and several remote postgreSQL databases
Accomplished restructuring and optimization of a project architecture
Added authorization using social networks (Google auth, Vk auth)
Integration payment system for client with ClouPayments API
Coverage with test and documentation of developed functions
Used: Django, RestAPI, DRF, Docker, PostgreSQL, Yandex S3

Fullstack Developer
PBO Information Technology Center 
Designed and developed inter-business marketplace.
Starting from initial design meeting with customers, through definition of
product requirements, system architecture and implementation. Deployed and supported throughout the life cycle of the project.
Used: DRF, Django, Github, Postgresql, Redis, Docker, Celery, QuasarFramework, Vue2, HTML, CSS.

Frontend Developer
MedSoft: Medicat Software 
Participated in development of a a video-based queue management project with face recognition.
Was responsible of integrating input streams
Development of software interface for internal projects of the organization. A project for face recognition and queues in a clinic. A site where you can see the number of people in line and live broadcast.
Working with rtsmp video stream, and working with the frontend part of the project.