Fullstack / Backend / Automation Developer

Dimash “DizZy” Janibekov

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.

80+repositories across backend, bots, AI, monitoring and MVPs
87%manual processing reduction through automation workflows
Full cyclefrom idea and architecture to API, DB, Docker, CI/CD and docs
Productengineering decisions connected to business operations

Core value

I am strongest where backend engineering meets real operational problems.

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

Business automation

Tools that remove repetitive work and connect teams.

  • Telegram bots and Mini Apps
  • CRM/helpdesk workflows
  • Google Sheets and external APIs
  • Internal operational tools

Product delivery

From rough idea to maintainable MVP with docs and CI.

  • Product prototypes
  • Dashboards and admin panels
  • Monitoring and alerts
  • Testing, Docker and CI pipelines

Featured systems

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.

GoPostgreSQLDockerOpenAPI

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.

TypeScriptNext.jsPostgreSQLWebSocket

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.

PythonFastAPIStreamlitPandas

RAG-based support automation system with FastAPI gateway, Celery + Redis async processing, Qdrant vector search, LangChain RAG pipeline and Docker Compose deployment.

FastAPICeleryRedisQdrant

Monitoring and automation platform for telecom/NOC scenarios with async checks, ICMP/TCP validation, BGP/SNMP direction, SLA tracking, Telegram alerts, Prometheus and Grafana.

PythonAsyncIOPrometheusGrafana

Production-style backend API for workspace/task scenarios with FastAPI, clean entrypoint, SQLAlchemy models, Alembic migrations, Docker Compose setup and Pytest validation.

FastAPISQLAlchemyAlembicDocker

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.

PythonOpenCVNumPyPandas

Testing framework for API → UI → DB microservice flows with Playwright, Pytest, Page Object Model, PostgreSQL checks, cleanup isolation, Allure Reports and GitHub Actions CI.

PlaywrightPytestPostgreSQLAllure

More engineering projects

Additional repositories that show breadth across bots, automation, utilities, games, frontend experiments and modding.

Stack map

Tools I use to build, automate, ship and validate systems.

PythonGoTypeScriptJavaScriptFastAPIDjangoFlaskNext.jsReactPostgreSQLRedisMongoDBQdrantDockerNginxLinuxGitHub ActionsOpenAPIPlaywrightPytestOpenCVTelegram Bot APIPrometheusGrafanaMinecraft Fabric

Experience focus

My practical focus is shipping useful systems, not just isolated code snippets.

Backend

APIs, data models, event ingestion, queues, deduplication, admin endpoints, health checks, OpenAPI, Docker and CI/CD.

Automation

Telegram bots, CRM/helpdesk integrations, Google Sheets workflows, alerts, routing, templates and internal operational tooling.

AI / RAG

Support automation, vector search, knowledge-base retrieval, async processing and practical AI-assisted workflows.

Quality

E2E testing, API/UI/DB validation, Playwright, Pytest, Allure Reports and GitHub Actions checks.

Let’s build something useful.

I am interested in backend platforms, automation systems, Telegram products, AI/RAG tools and MVPs that solve real operational problems.