Владислав

Vladislav Bratus
Python Developer

SUMMARY CONTACTS
I possess a strong foundation in backend development,
demonstrated through practical experience building
web applications with Django and FastAPI. My expertise
[открыть контакты](см. выше в блоке «контактная информация»)
extends to database management systems, including
relational (PostgreSQL, MySQL, SQLite) and non- [открыть контакты](см. выше в блоке «контактная информация»)
relational (MongoDB, Redis) databases. I am proficient
in Python and have experience with web scraping, data Telegram
processing, and automation using libraries like
BeautifulSoup and Selenium. Furthermore, I've
Linkedin
contributed to and led projects involving neural
GitHub
networks, showcasing my ability to apply diverse
technologies to solve complex problems, such as Kharkiv city, Ukraine
automated parking management and e-commerce
platform development.
TECH SKILLS
PROJECT EXPERIENCE
Python(Programming Language)
DataBridge (Python, BeautifulSoup, Selenium,
Django
Databases)Developed a server application to automate
FastAPI
the collection, processing, and updating of data on an
HTML & CSS
exchange website. Utilized BeautifulSoup and Selenium
NoSQL(Redis, Mongo)
for web page parsing and data collection. Implemented
Relational database(SQLite, PostrgeSQL)
logic for structuring and processing acquired data,
Selenium
including complex calculations. Automated updating of
Pandas
user profile information using Selenium. Ensured
Numpy
efficient data exchange between the database and the
Google Colab
exchange's web interface.
RabbitMQ
MarketPlace (Django, PostgreSQL, Telegram API).Web Celery
platform for placing and managing sales offers. GitHub
Implemented an internal marketplace functionality for Web Scraping
users. Integrated with the Telegram API for WebSockets
notifications about new orders. Developed an order Aiohttp
management system, including processing and Docker
fulfillment. Utilized a shared database for storing user, Trello
offer, and order information.

ParkEasy (Python, OpenCV, TensorFlow/PyTorch, SOFT SKILLS
PostgreSQL).A team project to develop an automated
parking management system utilizing neural networks
Attentive
for license plate recognition. *Role of team lead:
Courteous
coordinated the work of a five-person team, planned
Open-minded
tasks, monitored progress, and communicated with the
Meticulous
client. Utilized video surveillance cameras to collect
Committed
video data. *Applied neural networks
Inquisitive
(TensorFlow/PyTorch) for real-time license plate
recognition. *Developed a system for tracking vehicle
entry and exit from the parking lot. *Implemented a
mechanism for calculating parking fees based on dwell
LANGUAGES
time. Stored data in a PostgreSQL database to ensure
reliability and scalability. English - Pre-intermediate
Ukrainian - Native
EDUCATION
GoIT academy