Built two systems from scratch:First is based on a classic stack of Django/Celery with postgres (with pgvector and LLM embeddings) and redis. System allows company staff to analyze and rate the performance of AI driven chatbots. After human rates of the performance it is compared with a LLM rate of the same dialogs to reach the consensus.Second one is a backend for a powerful chatbot that is connected with a iOS app, downloads user's apple healthkit healthdata for future analysis and recommendations for a chat bot. It handles multiple chat integrations: Telegram, iMessage and Websockets. Also it allows to create and run segment selection on a ClickHouse database and dispatch results for a different use cases. It's written with async FastAPI, async SQLAlchemy, covered by pytest.

Working on mostly data-related features, with pretty classic stack: Django, PostgreSQL, Amazon ECR.

Developed inquiries for marketing team. Main focus of my job was on integrations with partner services and developing services for that will help company to grow revenue. Leaded a team with two more developers.Main stack: Django, ELK, PostgreSQL

Developed and participated in development on a multiple projects.Here are main ones:Learning management system (core of Skillbox). Users notification and mailing list service (email, telegram and sms) Main stack: Django, DRF, Docker, PostgreSQL, FastAPI (async), Clickhouse

Developed and participated in development in multiple services: - Notification and Push sending service. - Some kind of CMS for django websites. - Integration service, that sends users data to multiple sources Main stack: Django, DRF, Postgres, Docker, Sanic

Participated in development of DataLake and wrote some python scripts for big data teamMain stack:Python, Hadoop, Hive