• Project: Backend development for a loyalty platform supporting franchise-based models. Business logic for franchisees, business points and cardholders was implemented. APIs for client management, geotagging, registration and authentication workflows, as well as a flexible tariff and bonus system with restrictions and usage limits were developed. • Project team: Technical Director, 2 backend developers, 2 frontend developers. • Responsibilities/functionality: - Creation and optimization of API for client and business point management, including geotags and push notifications. - Development of a pricing mechanism with limits and terms of use. - Implementation of a bonus system with transaction history. - Improvement of registration, authorization and access rights delimitation processes. - Increasing system stability by optimizing queries, logging and monitoring. • Technologies: Python, Django, DRF, Celery, PostgreSQL, Docker, Git, Redis, Swagger

• Project: Development of a backend architecture for a multi-service AI platform integrated with Facebook, Instagram, a chat widget, and external services. The platform allows companies to connect communication channels, use GPT to generate responses, set up deferred messages, filters, and collect data in Google Sheets. The main functionality is implemented as separate FastAPI services, united through a centralized Django admin panel. • Project team: 1 backend developer (independent development of the backend part, including architecture design and implementation of all services), 1 front-end developer, product manager. • Responsibilities/functionality: - Development of an AI dialog processing service: receiving messages, interacting with GPT via the OpenAI API, returning generated responses. - Creation of integrations with Facebook and Instagram: setting up webhooks, automatic client creation, message routing via an AI service, filtering by stop phrases, implementing a deferred message mechanism. - Implementation of a chat widget with a WebSocket connection. - Development of an integration service: support for Google Sheets and external APIs. Processing GPT dialogs and extracting structured data for writing to tables or sending to external sites. - Setting up databases for each microservice and a centralized Django interface for managing accounts, integrations, and settings. • Technologies: Python, Fast API, Django, DRF, Celery, Docker, Redis, PostgreSQL, OpenAI API, SQLAlchemy, Alembic.

Python backend developer • Project: Developing the functionality of a Telegram bot with GPT support. Users can choose roles with different communication scenarios, switch between voice and text modes, generate images and send files for text analysis. • Project team: Team lead (full stack), 2 backend developers, 2 frontend developers. • Responsibilities/functionality: - Developing the server part of the project. • Technologies: Python, Django, DRF, Celery, Docker, Redis, PostgreSQL, Telegram Bot API, OpenAI API

Python backend developer • Project: Developing a backend for two related Django platforms: online education and webinar hosting. The educational platform includes course, homework, and user progress management, while the webinar platform includes event scheduling and online participation with real-time notifications. • Project team: Team lead, 3 backend developers, 2 frontend developers, tester. • Responsibilities/functionality: - Implementation of CRUD API for courses, categories, and areas with documentation via Swagger. - Integration of Celery and CeleryBeat for automated course completion verification. - Design of the homework module architecture and implementation of a system for storing, processing, and grading assignments. - Setting up an authorization scheme. - Validation of events to prevent overlaps when scheduling webinars. - Implementation of a notification system via a combination of Django and Express over WebSocket. • Technology stack: Python, Django, DRF, Celery, Postgresql, Docker, Git, Redis, Sentry, Swagger

Python developer Worked on small projects and ideas as part of training and participation in early stages of startups. • Developing a Telegram bot for signing up for services and interacting with users. • Creating automations for working with social networks and messengers. • Developing a platform on Django with registration and API. • Email newsletter service on Flask with Celery. • Comprehensive organizer with reminders and integrations (Firebase, Twilio).