Владислав

Vladyslav Dashkevych
Python Software Engineer
Email: [открыть контакты](см. выше в блоке «контактная информация»)

In Python development, I came around 3 years ago. During this time, I studied Python3 and many useful
frameworks and modules such as Django, Django REST framework, Telebot, and others. It's incredibly fulfilling to
utilize my technical expertise to create impactful solutions that positively impact people's lives.

● Data Analysis and Manipulation
● Knowledge of Microservice architecture, and API Design
● Participating in the development of many different projects
● Working with many powerful and popular frameworks and modules for building high-load web
applications, building REST API and real-time applications
● I possess expertise in performing web crawling and preparing data.
● Writing tests

Skills & Qualifications

Programming Technologies Python3.*, Django, DRF, Django Channels, Serverless Framework, FastAPI,
Flask, SQL, NoSQL, Celery, Django_RQ, Dramatiq, GraphQl, Pytest,
REST API, Scrapy, AWS, Pandas, MongoDB, PostgreSQL, SQLAlchemy,
Docker, Docker-compose, ElasticSearch

Operating Systems macOS, Microsoft Windows, Linux

Programming Methods Agile, SCRUM
Version Control Systems Git
Databases MongoDB, Redis, PostgreSQL, MySQL, DynamoDB
Education
Chernivtsi National University Of Yuriy Fedkovych - Computer Science student

Languages
English - Intermediate
Ukrainian - Native

Experience

PROJECT 1

Project Description: The project was aimed at training an AI to generate English text by having humans
identify and correct errors in the text. A Django web application was developed to
facilitate this process, allowing users to check the AI-generated text and provide
feedback for further learning.

Involvement Duration: 8 months

Responsibilities: ● Creating API
● New features implementation
● integration tests writing
● Troubleshooting, bug fixing, refactoring

Project Team Size: 7 members (3 Front-end developers, 2 Back-end developers, QA, PM)

Tools & Technologies: Python3, Django, GraphQL, Docker, AWS

PROJECT 2

Project Description: E-commerce furniture sales platform

Involvement Duration: 4 months

Responsibilities: ● Creating API
● New features implementation
● integration tests writing
● Troubleshooting, bug fixing, refactoring

Project Team Size: 4 members (Front-end developer, Back-end developer, QA, PM)

Tools & Technologies: Python3, FastAPI, Django, Docker, Heroku
PROJECT 3

Project Description: Telegram bot for automatic news posting in Telegram channels

Involvement Duration: 5 months

Responsibilities: ● Creating API
● New features implementation
● integration tests writing
● Troubleshooting, bug fixing, refactoring

Project Team Size: 4 members (2 Back-end developers, PM)

Tools & Technologies: Python, Django, python-telegram-bot, Postgresql, APScheduler, Dramatiq,
AWS, Docker

PROJECT 4

Project Description: A dedicated task board that helps property owners manage and delegate tasks between
their staff. The board made it easy to assign tasks, track progress, and communicate
among team members.

Involvement Duration: 5 months

Responsibilities: ● Creating API
● New features implementation
● integration tests writing
● Troubleshooting, bug fixing, refactoring

Project Team Size: 4 members (Front-end developer, 2 Back-end developers, PM)

Tools & Technologies: Python, Django, Postgresql, AWS, Docker, Celery, Redis

PROJECT 5

Project Description: The application was designed to assist marketers in creating effective advertising
campaigns by generating reports on their past campaigns. It allowed marketers to
analyze the data and make informed decisions for future campaigns.

Involvement Duration: 14 months

Responsibilities: ● Creating API
● New features implementation
● integration tests writing
 ● Troubleshooting, bug fixing, refactoring

Project Team Size: 8 members (3 Front-end developers, 3 Back-end developers, QA, PM)

Tools & Technologies: Python 3, Flask, Docker, SQLAlchemy, Alembic, Postgresql, Marshmallow,
AWS, Sentry, ElasticSearch, Redis