Контактная информация

Соискатель указал телефон и эл. почту.

Получить контакты этого кандидата можно на странице https://www.work.ua/resumes/11533620/

Опыт работы

AI Automation & Backend Engineer

с 03.2025 по наст. время (1 год)
AI Business Pro, Дистанційно (IT)

Led backend development as the primary engineer alongside the founder, taking full ownership of the project lifecycle - from architecture and cloud deployment to AI agent integrations.

Cloud Infrastructure & DevOps (GCP & CI/CD)
• Provisioned Linux VM environments on GCP and containerized services (Docker) for isolated execution.
• Engineered automated CI/​CD pipelines via GitHub Actions, eliminating manual deployments.
• Built an observability stack using Prometheus and Grafana for structured logging and automated failure alerts.
• Migrated automation servers to n8n v2.x, configuring isolated Docker Task Runners for secure Python execution.

Multi-Agent AI Systems (CrewAI)
• Designed and deployed a code-driven multi-agent system for a B2B 'Nutrition AI Consultant' platform.
• Implemented hierarchical coordination logic (Manager LLM) to delegate tasks across 8 specialized worker agents.

Automation Pipelines (n8n & FastAPI)
• Developed FastAPI microservices to handle complex business logic beyond n8n's native capabilities.
• Engineered an internal NLP transcription pipeline with media processing and AI summarization, replacing expensive SaaS tools.
• Automated document intelligence workflows (parsing emails, P7S extraction, LLM classification) and Wrike task generation.
• Built automated lead generation pipelines structuring B2B contact data for AI-personalized outreach via Reply.io.

Python developer

с 05.2024 по 03.2025 (11 месяцев)
self employed, Львів (IT)

WebAnalyzer-AI
Built an AI-powered web application to handle real-time user interactions, analyze websites, and store conversation history. Key functionalities and technologies include:

•Website Analysis & AI-driven Responses: Implemented functionality to analyze website content and generate intelligent responses using AI, improving user experience.
• User Authentication & Session Management: Developed a secure authentication system with JWT, enabling users to register, log in, and access their message history.
•Scalable Backend & Asynchronous Processing: Designed the backend to efficiently process API requests, integrating asynchronous tasks for smooth performance.
•Containerized Deployment: Utilized Docker to containerize the backend, frontend, and database, ensuring portability and ease of deployment.
•Efficient Data Storage: Integrated PostgreSQL with ORM for structured and optimized data handling.
•Frontend with React: Built an interactive and responsive user interface using React and Vite, ensuring a seamless user experience.
Technologies used: FastAPI, PostgreSQL, SQLAlchemy, JWT, React (Vite), Docker, OpenAI API.

Library service
Collaborated on developing an online library platform, focusing on the following tasks:

•Developed a Borrowing View: Implemented a user-friendly view for managing book borrowings, ensuring a seamless user experience.
•Created a Telegram Bot: Built a Telegram bot using FastAPI to notify users about borrowing statuses and due dates, enhancing user engagement through message automation.
•Supported Docker Configuration: Assisted in configuring the application in Docker for local testing, troubleshooting issues, and optimizing the setup to ensure a smooth development process.
Technologies used: Django/Django Rest Framework, FastAPI PostgreSQL, Celery, Redis, Docker/Docker-compose, Stripe API.

Theatre API for Ticket Purchases
Built a robust API for online theatre ticket purchasing, designed to support seamless booking and reservation management. Key functionalities and technologies include:

•Reservation and Ticket Management: Created endpoints to manage reservations, allowing users to browse, book, and cancel tickets for theatre performances.
•Task Scheduling with Celery: Implemented Celery for handling background tasks, such as sending email confirmations for bookings, ensuring timely notifications without impacting performance.
•Optimized with Redis Caching: Integrated Redis to enhance performance by caching frequent requests, reducing server load and improving response times.
•User Authentication and Access Control: Developed secure user authentication and authorization flows, ensuring that users have controlled access to their booking data.
Technologies used: Django, Django REST Framework, PostgreSQL, Docker/Docker-compose, Redis, Celery.

Дополнительное образование и сертификаты

Mate academy

2024, 4 months

AWS Cloud Quest: Cloud Practitioner

2025
Сертификат

Знания и навыки

• Python
• Django
• Django Rest Framework
• FastAPI
• PostgreSQL
• Git
• Knowledge of OOP principles
• SOLID Principles
• Docker
• CI/CD
• Celery
• Redis
• JSON Web Token
• Telegram API
• Agile
• Scrum
• HTTP
• HTML
• CSS
• Bootstrap
• SQL
• SQLAlchemy
• Linux OS user
• GitHub
• SQLite
• REST
• Unit testing
• PyTest
• Beautiful Soup
• Selenium
• Scrapy
• Web Scraping
• Користувач ОС Linux
• OpenAI
• AWS
• CrewAI
• Docker Compose
• GitHub Actions
• AI integration
• Google Cloud Platform
• Адміністрування Linux Server
• Grafana
• Prometheus
• REST API

Знание языков

• Английский — выше среднего
• Украинский — свободно
• Польский — средний