Daniil S.
Verified expert
Top skills
Daniil S.
Verified expert
Meet Daniil ✨
A Backend Developer with three years of experience building scalable Python systems for AI platforms and real-time financial applications. Daniil specializes in designing clean, high-performance APIs with FastAPI, async PostgreSQL, and Redis, focusing on architecture that holds up under production load without unnecessary complexity.
He has built the backend for an AI agent development platform with MCP integrations, access control, and real-time WebSocket communication, as well as a cryptocurrency tracking application with live price monitoring, virtual wallets, and WebSocket-based investor community chat across a microservices architecture.
Daniil is a Google Cloud certified engineer with a Master's degree in Computer Science. He combines strong async programming skills with practical experience in cloud deployment, task scheduling, and system observability using tools like Sentry and Loguru.
If you need a backend developer who can build fast, reliable APIs and production-ready Python services without overengineering, Daniil is the kind of engineer who delivers clean architecture that scales 🚀
Download the CVHard skills
Python
SQL
FastAPI
Django
Django REST Framework
Celery
SQLAlchemy
Alembic
Pydantic
Numpy
Pandas
BeautifulSoup
boto3
Requests
Selenium
AIOHTTP
Async Programming
WebSockets
Socket.IO
PostgreSQL
MySQL
SQLite
Redis
Docker
Docker Compose
AWS
GCP
Nginx
REST API Development
Microservices Architecture
Tools
Git
GitHub
GitHub Actions
GitHub CI/CD
Postman
Pytest
Unittest
Mock
Sentry
Loguru
PyCharm
APScheduler
MindsDB
Firebase Admin SDK
Soft skills
Responsibility
Problem solving
Communication
Ownership
Adaptability
Attention to detail
Team collaboration
Continuous learning
Studio — AI Agent Development Platform
Backend Developer
Project Description:
Built the backend for a flexible AI platform that enables users to create, configure, and operate intelligent agents through a scalable interface. Developed APIs for agent management, dataset handling, access control, and user configuration. Integrated MCP connectors, Google Sheets, email services, and external authentication providers.
Tools & Technologies:
Python, FastAPI, SQLAlchemy, PostgreSQL (asyncpg), Alembic, Socket.IO, Pydantic, Redis, aiobotocore, MindsDB, APScheduler
Tracking Cryptocurrency Platform
Backend Developer
Project Description:
Developed the backend for a mobile-optimized cryptocurrency tracking app with real-time asset monitoring, virtual wallets supporting crypto, forex, and stocks, and multilingual investor communities. Built WebSocket-based chat with role management, integrated Firebase notifications for price alerts, and implemented promo code and affiliate systems.
Tools & Technologies:
Python, FastAPI, SQLAlchemy, PostgreSQL (asyncpg), Alembic, Socket.IO, Pydantic, Celery, Redis, Sentry, aiobotocore, Firebase Admin SDK, Pytest