Kryaka

Automation & backend engineer. I build systems that run quietly in the background — and stay running.

Baden-Württemberg, Germany // Python · Docker · LLMs
Core Skills
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Python
Automation scripts, data pipelines, Flask backends & tooling. Preferred language for everything.
primary
Docker
Multi-container deployments, networking (ipvlan/bridge), nginx reverse proxy + TLS.
infra
LLM Integration
Ollama, LangGraph, multi-agent workflows. Connecting local models to real-world tasks.
emerging
Backend Dev
Flask APIs, SQLite & PostgreSQL, REST design, test suites, full documentation.
full-stack
Prometheus
Custom metrics exporters for DB monitoring, alerting, and observability pipelines.
ops
Selected Projects
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DB Monitor + LLM Analyst
Database observability system exporting Prometheus metrics, feeding a multi-agent LangGraph workflow. Qwen3:32b handles CPU analysis; Mistral Small 3.2 drives browser automation via Playwright — all within 24GB VRAM.
Prometheus
LangGraph
Ollama
Playwright
StockTracker v6
Self-hosted financial tracking app: 4-container Docker setup, PostgreSQL, Flask backend with scheduled jobs, LLM-powered sentiment analysis, and a React/TypeScript frontend with TradingView charts.
Flask
PostgreSQL
React/TS
Docker
SwimTrack 24 Backend
REST API for managing 24-hour swimming competitions. 8 critical bugs resolved, 147 end-to-end tests, full Docker packaging and documentation.
Flask
SQLite
Docker
pytest
nginx VLESS/WS Gateway
Dockerized nginx as a TLS-terminating reverse proxy for VLESS over WebSocket. Let's Encrypt certificates, automated renewal, ipvlan/bridge dual networking.
nginx
Docker
Let's Encrypt
VLESS
About
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Focus
Automation Engineer
Location
Baden-Württemberg, DE
Primary Language
Python
Stack
Docker · Flask · Prometheus
Currently Exploring
Local LLMs + DB Ops
Outside Work
Family · Cooking · Cycling
Philosophy
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If a task is done more than once, it should be automated. I build infrastructure that's boring by design — reliable, observable, and self-sufficient. Whether it's a DB alerting pipeline or a home Docker stack, the goal is the same: set it up once and trust it.

I'm drawn to the intersection of backend engineering and modern AI tooling — using local LLMs not as magic, but as deliberate components in well-structured workflows.