Владислав

Vladyslav Dashkevych​
Python Developer
​
[відкрити контакти](див. вище в блоці «контактна інформація»)
[відкрити контакти](див. вище в блоці «контактна інформація»)

Summary of Results-oriented, self-motivated professional with about 5 years of commercial
experience. A combination of analytical skills, forward thinking, planning, and goal
Qualifications achievement qualities.

Skills Programming Technologies: Programming methods:

●​ Python3 ●​ Agile
●​ Django ●​ Scrum
●​ DRF
●​ Django Channels Version Control Systems:
●​ Serverless Framework
●​ AWS ●​ Git
●​ FastAPI
●​ Flask Databases:
●​ AsyncIO
●​ Threading ●​ MongoDB
●​ Multiprocessing ●​ PostgreSQL
●​ SQLAlchemy ●​ MySQL
●​ Docker ●​ Sqlite3
●​ Docker-compose ●​ DynamoDB
●​ Celery ●​ Redis
●​ ElasticSearch
●​ Pydantic
●​ Marshmallow
●​ Pytest
●​ Black
●​ Mypy
●​ Ruff
●​ Sentry
●​ Pywebview
●​ openai-python
●​ python-telegram-bot
 Expirience

NDA, Ukraine 2020 - August 2022

Project Description: Dedicated task board for property owners.​
A platform that helps property owners manage and delegate tasks between
their staff. It provides functionality to assign tasks, track progress, and
communicate among team members.

My responsibilities: ●​ Designed and implemented backend logic for task assignment and
progress tracking.
●​ Developed APIs for task management and real-time communication
between team members.
●​ Integrated role-based access control to differentiate property owners,
managers, and staff.
●​ Optimized database queries to improve the performance of task
filtering and reporting.
●​ Collaborated with the frontend team to ensure a seamless user
experience and data consistency.

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

Project Description: An AI training platform for English text generation.​
A Django web application designed to train an AI model by collecting
human feedback. Users could review AI-generated text, identify and correct
errors, and provide feedback for further model improvement.

My responsibilities: ●​ Developed a Django backend to handle user interactions and feedback
processing.
●​ Implemented data models and APIs for storing AI-generated text and
user corrections.
●​ Integrated feedback flow to support iterative AI model training.
●​ Designed the admin panel to manage users, tasks, and collected
datasets.
●​ Ensured scalability and optimized database queries for handling large
volumes of text feedback.

Tools & Technologies: Python, Django, DRF, Django Channels, Redis, Celery, GraphQL, Docker,
Docker-compose, AWS EC2, AWS S3.

Project Description: Telegram bot for automatic news posting.​
A Telegram bot designed to automate news delivery in multiple Telegram
channels, ensuring fast and consistent content distribution.

My responsibilities: ●​ Developed bot functionality using Python and python-telegram-bot.
●​ Implemented scheduling and delayed posting with APScheduler.
●​ Integrated PostgreSQL for persistent storage of channels, messages,
and posting rules.
 ●​ Added background task processing with Dramatiq for high-load
scenarios.
●​ Deployed the bot with Docker and configured infrastructure on AWS for
24/7 availability.
●​ Built an admin interface for managing content sources, posting
schedules, and channels.
●​ Optimized logging, monitoring, and error handling to ensure stable
operation.

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

Project Description: Marketing analytics and reporting application.​
A web application designed to help marketers create effective advertising
campaigns by generating detailed reports on past campaigns. It enabled
users to analyze campaign data and make informed decisions for future
strategies.

My responsibilities: ●​ Designed and developed backend architecture and core application
logic.
●​ Created data models, implemented schema migrations, and optimized
database queries.
●​ Integrated analytics and reporting functionality to support data-driven
decision-making.
●​ Implemented caching and background processing to improve system
performance.
●​ Set up deployment, monitoring, and error tracking to ensure high
availability and stability.
●​ Collaborated with stakeholders to gather requirements and transform
them into technical solutions.

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

NDA, Austria August 2022 - January 2025

Project Description: Live streaming and interactive communication platform.​
A streaming platform enabling users to create live broadcasts, interact in
real time, and financially support streamers through donations. Donors
received VIP status, which enhanced community engagement and provided
a unique interactive experience for both content creators and audiences.

My responsibilities: ●​ Developed backend services to support live streaming, real-time chat,
and donation workflows.
●​ Designed and implemented an internal messenger for communication
between users.
●​ Built a recommendation system to personalize content discovery and
viewer engagement.
●​ Integrated AI into the sales funnel to improve user conversion and
retention.
●​ Added an AI-powered assistant in the messenger to interact on behalf
of streamers, reducing their workload.
●​ Implemented user roles, permissions, and VIP features to enhance
 community interaction.
●​ Optimized database structures and application logic to handle
high-load scenarios.
●​ Ensured smooth communication between frontend and backend for a
seamless user experience.

Tools & Technologies: Python3, Django, DRF, Django Channels, JS, JQuery, PostgreSQL, MongoDB,
Redis.

NDA, Ukraine January 2025 - now

Project Description: Developed a desktop application for optimizing interaction with a dating
website and automating mass messaging campaigns, utilizing advanced AI
technologies to enhance communication efficiency and personalize
outreach. The application enables automated search, user profile analysis,
and targeted messaging based on behavioral patterns, significantly
increasing conversion rates. AI integration empowers intelligent contact
selection and dynamic message content generation. The solution leverages
web-scraping, browser automation, and asynchronous data processing for
seamless interaction with external APIs and web interfaces.

My responsibilities: ●​ Full-cycle development of the backend (Django, DRF, Aiohttp, Asyncio,
Threading, Multiprocessing, Requests, BS4, Selenium)
●​ Architecture design and implementation, including asynchronous task
handling and scalability
●​ Development of the UI (ReactJS, Pywebview) and integration with the
backend
●​ Implementation of automated web-scraping and data analysis tools
●​ Writing tests and covering core business logic with automated test
scenarios
●​ Ensuring continuous integration, testing, and codebase maintenance

Tools & Technologies: Django, DRF, Pywebview, SQLAlchemy, Asyncio, Threading, Multiprocessing,
Aiohttp, Requests, BeautifulSoup (BS4), Selenium, Pytest, Black, ruff, mypy,
ReactJS

Education Chernivtsi National University of Yuriy Fedkovych - Computer Science student
2018 - 2023