I'm a seasoned and systems engineer and linux backend developer with a passion for creating highly customized, industry-scale off-cloud, and privacy-centric smart-home solutions and applications. With over 9 years of Linux experience, I've mastered the art of integrating smart technologies across all brands and interfaces, be it IR, BLE, ZigBee, WiFi, or wired solutions, all running locally for maximum data security and privacy, in the most integrated and consice way - as this fuels my nerd soul 🤓
- 🇦🇹 Austrian-based 27 years old living in the probably smartest home around my city
- 🎓 I am a self-taught developer with a deep passion & understanding of Linux systems
- 💻 I am currently working on a robust and comprehensive Product Information Management (PIM) system for e-commerce platforms,
- 🏡 I run a fully integrated smart-home with Home Assistant on a local Docker-Swarm cluster.
- 🌐 I maintain a web server stack for my personal website, created with PHP.
- 🌱 I am constantly learning and looking to improve my skills.
- Languages: Node.js, Python, Bash, PHP
- Databases: SQL, Vector
- DevOps: Docker, Ansible, Traefik, OpenVPN, GlusterFS
- IoT: Home Assistant, Node-RED, ESPHome, Zigbee2mqtt, AppDaemon, Mosquitto
- Web Development: Keystone.js, GraphQL, MVC pattern
- Machine Learning: MindsDB, LLM
- JavaScript: I am currently deep-diving into JavaScript to enhance my skills and understanding in industry scaling applications with node.js
- Web-Scraping I'm gaining skills in pupeteer, crawlee and other frameworks including proxying to develop them efficiantly.
- LLM Frameworks: I am exploring various LLM frameworks to leverage them for machine learning tasks.
- Microsoft Azure: As a co-founder and CTO of the e-commerce SaaS, I am learning a lot about DevOps with Microsoft Azure and exploring their AI services & capabilities
-
E-commerce PIM System: A service designed to streamline the process of maintaining e-commerce products in a revolutenizing new way. The system is built on a Node.js backend using Keystone.js, with a GraphQL API to manage various models.
-
Smart-Home System: A fully integrated, off-cloud, privacy-aware smart home system running on a local Docker-Swarm cluster. This system is designed to work across all brands and interfaces, ranging from IR, BLE, ZigBee, WiFi, to wired solutions. It uses various IoT services and databases, and is maintained with Ansible for easier orchestration. It also features high availability and accessibility with GlusterFS distributing all data amongst all nodes. All data is stored locally, ensuring maximum privacy and data security.
⭐️ From thegreenjosip