Backend engineering
Stable APIs, data models, queues and service architecture.
- REST / OpenAPI services
- PostgreSQL-backed systems
- Auth, migrations and workers
- Event ingestion and delivery queues
I design and build backend systems, automation platforms, Telegram products, AI/RAG services and production-minded MVPs that remove manual work and connect business operations.
I am strongest where backend engineering meets real operational problems.
Stable APIs, data models, queues and service architecture.
Tools that remove repetitive work and connect teams.
From rough idea to maintainable MVP with docs and CI.
Selected projects that show backend, automation, product and infrastructure thinking.
Production-ready Go webhook/event ingestion service with PostgreSQL storage, deduplication, rate limiting, durable Telegram delivery queue, admin API, OpenAPI and GHCR Docker publishing.
Self-hosted task and project management platform direction with workspace flows, task-board logic, real-time collaboration direction, product architecture and Docker/CI-ready MVP foundation.
Financial assistant MVP for small and medium businesses: 14-day cashflow forecast, cash gap detection, what-if planning, audit trail, confidence scoring, CLI, Streamlit UI and HTTP API.
RAG-based support automation system with FastAPI gateway, Celery + Redis async processing, Qdrant vector search, LangChain RAG pipeline and Docker Compose deployment.
Monitoring and automation platform for telecom/NOC scenarios with async checks, ICMP/TCP validation, BGP/SNMP direction, SLA tracking, Telegram alerts, Prometheus and Grafana.
Production-style backend API for workspace/task scenarios with FastAPI, clean entrypoint, SQLAlchemy models, Alembic migrations, Docker Compose setup and Pytest validation.
Computer Vision tool for table occupancy detection from video using ROI-based analysis, background modeling, activity tracking, annotated video export, CSV timelines and JSON summary.
Testing framework for API → UI → DB microservice flows with Playwright, Pytest, Page Object Model, PostgreSQL checks, cleanup isolation, Allure Reports and GitHub Actions CI.
Additional repositories that show breadth across bots, automation, utilities, games, frontend experiments and modding.
Tools I use to build, automate, ship and validate systems.
My practical focus is shipping useful systems, not just isolated code snippets.
APIs, data models, event ingestion, queues, deduplication, admin endpoints, health checks, OpenAPI, Docker and CI/CD.
Telegram bots, CRM/helpdesk integrations, Google Sheets workflows, alerts, routing, templates and internal operational tooling.
Support automation, vector search, knowledge-base retrieval, async processing and practical AI-assisted workflows.
E2E testing, API/UI/DB validation, Playwright, Pytest, Allure Reports and GitHub Actions checks.
I am interested in backend platforms, automation systems, Telegram products, AI/RAG tools and MVPs that solve real operational problems.