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Evalutik/README.md

💫 About Me:

Hi, I’m Andrei!

Second-year BSc Technical Computer Science & Honours Mathematics @ University of Twente · Available for internships & open to relocate/commute.
I build distributed systems, embedded IoT projects, and full-stack web apps — all this combined with AI/ML pipelines and data engineering.

🤝 I’m looking to collaborate on
- Research / projects combining distributed systems and ML inference pipelines.
- Open source tools for ETL, docs, or small-scale IoT integrations.
- But! I’m always open to collaborations and new ideas — feel free to reach out if you’d like to work together or discuss potential projects.

🌐 Socials:

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💻 Tech Stack:

AssemblyScript C# C++ C CSS3 Apache Groovy Swift PHP Java JavaScript Markdown Python HTML5 Haskell Kotlin PowerShell Bash Script Windows Terminal TypeScript LaTeX Objective-C AWS Azure Cloudflare Google Cloud Oracle OpenStack .Net Alpine.js Apache Spark WordPress Vite Vue.js Web3.js Webpack Vuetify Socket.io NodeJS Next JS OpenCV Context-API Electron.js Chart.js Gatsby Flask Flutter Angular.js Ant-Design Bootstrap Chakra Code-Igniter DaisyUI Deno JS Django Ember Esbuild Express.js FastAPI Framework7 Insomnia JavaFX jQuery JWT Metero JS NestJS Nuxt JS OpenGL Phoenix Framework Radix UI React React Native React Query React Router React Hook Form Snowflake SolidJS Spring Strapi Three js WebGL Apache Apache Maven Apache Tomcat Gunicorn Jenkins Apache Flink MySQL SQLite Neo4J MicrosoftSQLServer Quill Adobe Adobe Acrobat Reader Adobe After Effects Adobe Audition Adobe Creative Cloud Adobe Fonts Adobe Illustrator Adobe InDesign Adobe Lightroom Adobe Lightroom Classic Adobe Photoshop Adobe Premiere Pro Blender Canva Figma Clip Studio Paint TensorFlow PyTorch NumPy Matplotlib Pandas scikit-learn GitLab CI Git GitHub GitLab Bitbucket Selenium Arduino CodeCov Docker Meta Notion OpenAPI Specification OpenSea Portfolio Postman Raspberry Pi TOR Gradle

📊 GitHub Stats:



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  1. workflow-assistant-rag workflow-assistant-rag Public

    This workflow assistant is a fast and easy way to convert natural-language user requests into valid workflow configuration snippets by using retrieval (from existing real configs) + an LLM prompt.

    Python 2