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Python developer

Город проживания:
Луцк
Готов работать:
Удаленно

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Vadym M
Python Developer

SKILLS

Technical: Python, Django, Django Rest Framework, Flask, C++ / C#, JavaScript, PostgreSQL, MySQL,
Redis, Celery, Docker, Linux, APIs, Stripe, Asyncio, PyTest, CI/CD, LGSM (Linux Game Server Manager),
Azure, AI, AWS (S3, Lambda)
Soft-skills: Problem-Solving, Client Communication, Teamwork, Leadership, Delegation
Languages: English B2, Ukrainian C1
EDUCATION: Computer Engineer Bachelor - Lutsk National Technical University, Astound Front-end
course, Epam Pre-Junior school, Cisco Advanced Networking course.

PROJECTS
Project 1
AI Translate SaaS
Technologies: Python, Django Rest Framework, PostgreSQL, Stripe, AWS (S3, Lambda), Docker,
Open AI API, Gemini AI API
Developed a SaaS platform for translating text and files using AI. The product leverages leading AI
models, including ChatGPT, Claude, Gemini, and Llama. Also implemented user management and
subscription logic to handle user accounts and monitor usage effectively.
Project Duration: 3 months

Project 2
CRM for Marketing
Technologies: Python, Django Rest Framework, PostgreSQL, Redis, Docker, CI/CD, PyTest, Aiogram,
Asyncio, Facebook API, Instagram Graph API, Telegram API
Lead the development of a CRM system designed to facilitate communication with clients through
various channels, including Instagram, Telegram, WhatsApp, and Email. The platform centralizes
all business processes, enabling efficient management of client interactions and internal workflows.
Project Duration: 4 months

Project 3
Gaming Platform for CS2
Technologies: Python, C#, C# Sharp, Django Rest Framework, Channels, Socket.io, PostgreSQL,
Celery, Redis, PyTest, CI/CD, Linux, LGSM,Steam API, Binance API (for crypto payments)
Developed a plugin for the server using C# and the C# Sharp library, incorporating custom game
modes and live statistics. Set up multiple dedicated CS2 servers with LGSM and integrated them into
our gaming platform via REST API.Collaborated with the Steam API for user authentication via gaming
accounts and integrated the Binance API to facilitate crypto payments.
Project Duration: 6 months

Project 4
Gaming Platform for Dota 2
Technologies: Python, Django Rest Framework, Flask, MySQL, Redis, Celery, Docker, Socket.io, Linux
Developed a comprehensive platform for creating and playing tournaments, offering complete
control over tournament grids. Automated match configuration and initiation on Valve servers via the
Dota 2 Game Coordinator API.
Project Duration: 6 months
Project 5
B2B SaaS for Plotters
Technologies: Python, Django Rest Framework, MySQL, Linux, GPGL, HPGL
Developed a SaaS platform for a leading hardware provider in Ukraine and Poland. The platform
manages over one million technical schematics for various phone and tablet models, updating daily
and serving more than 1,000 clients. Integration with plotters was achieved using GPGL and
HPGL.
Project Duration: 6 months

Project 6
SaaS for Vending Machines
Technologies: Python, C++, Django Rest Framework, Asyncio, MySQL, Redis, Celery, Linux
Developed a SaaS to monitor and control over 30 vending machines. The system uses the
UDP
protocol to communicate with controllers in each machine, sending real-time requests every second.
Project Duration: 4 months

Project 7
CRM for a Digital Agency
Technologies: Python, Django Rest Framework, Pandas, Socket.io, Redis, Celery, Linux Developed a
CRM system similar to Jira or Trello, featuring a built-in time tracker and scheduling calendar.
The platform also includes a comprehensive finance module to manage the agency's finances,
such as income, employee salaries, and other expenses.
Project Duration: 3 months

Project 8
Cyber-Sport Platform – Dota 2 and CS2
Technologies: Python, Django Rest Framework, PostgreSQL, Redis, Celery, PyTest, Socket.io Developed
a platform that enables users to create, host, and stream tournaments for popular games like Dota 2
and CS2. The platform automates match creation for players and hosts, and manages payments
and prize distribution.
Project Duration: 11 months

Project 9
E-learning Platform
Technologies: Python, Django, Django Templates, Telegram API, Aiogram, Asyncio, MySQL Developed a
Telegram bot and an admin dashboard to manage it. The bot provides users with access to a private
subscription-based channel and delivers personalized offers such as bonuses and discounts.
Payments were processed through Payoneer. Additionally, I built a multi-level partner program that
allows clients to earn bonuses for referring new users. The dashboard offers comprehensive access
to payment records, user information, chat history, and various other features.
Project Duration: 4 months

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