// available for work

Rune Tech

Backend-first developer. I build APIs, reverse engineer them, wire in LLMs where they actually help, deploy on self-hosted infrastructure, and automate what shouldn't need a human.

See My WorkGet In Touch
terminal
$ whoami
dev
$ cat skills.txt
→ Python · FastAPI · Flask
→ Docker · Nomad · Traefik
→ Frida · ADB · Magisk
→ PostgreSQL · MongoDB
$
// 02 · stack

What I Work With

Languages
PythonTypeScriptJavaScriptBash
Frameworks
FastAPIFlaskNiceGUINext.jsNode.js
Infrastructure
DockerNomadTraefikWireGuardPortainer
Databases
PostgreSQLMongoDBPgBouncer
Observability
GrafanaLokiUptime Kuma
Security & RE
FridaADBMagiskMitmProxy
AI & LLMs
OpenAI APIAnthropic Claude APIGemini APILangChainStructured OutputsPrompt EngineeringAI AutomationFunction Calling
Workflow
GitRuffLinux
// 03 · projects

Selected Work

[Your Live App]LIVE

Fill in your live project description here. A brief 1–2 sentence overview of what it does and who it's for.

Next.jsFastAPIPostgreSQLDocker
License Manager// private

Internal license key and client access management system built for my own freelance workflow.

PythonFastAPIPostgreSQL
[Open Source Project 1]OPEN SOURCE

Fill in your open source project name and description here.

Python
[Open Source Project 2]OPEN SOURCE

Fill in your second open source project name and description here.

PythonTypeScript
API Reverse Engineering// private

Mapped undocumented mobile and REST APIs using traffic interception and dynamic instrumentation. Built private automation clients on top.

PythonFridaBurp Suite
Android Automation// private

Built device automation pipelines using ADB and Magisk-based tooling for programmatic control and process automation.

PythonADBMagiskFrida
// 04 · ai

AI Integration

I build systems that use LLMs as a core component — not just wrappers around a chat endpoint.

[API]LLM API Integration

OpenAI, Anthropic, and Gemini APIs. Streaming, batching, retry logic, cost control.

[STRUCTURED]Controlled Responses

Getting structured, typed, reliable output from LLMs using function calling, JSON mode, and output parsers. No hallucination-prone freeform parsing.

[AUTOMATION]AI-Powered Automation

Replacing manual workflows with LLM pipelines — classification, extraction, decision routing, and multi-step agents.

Tools I use: LangChain · Structured Outputs · Function Calling · Prompt Engineering · FastAPI + LLM backends

// 05 · lab

Self-Hosted Infrastructure

I don't just deploy to the cloud. I run my own stack.

WikiJS
RUNNING
PostgreSQL
RUNNING
MongoDB
RUNNING
Loki
RUNNING
Grafana
RUNNING
Syncthing
RUNNING
Portainer
RUNNING
Traefik
RUNNING
Uptime Kuma
RUNNING
WireGuard
RUNNING
Strapi
RUNNING
Paperless-ng
RUNNING

Managed with Nomad + Docker. Reverse proxied via Traefik.
Monitored with Grafana + Loki. VPN access via WireGuard.

// 06 · contact

Let's Work Together

Telegram
GitHubYouTubeBlog

I respond within 24h. Async-first. No calls unless needed.