A Blog full of AI Projects
My CV
15-July-2026
This version of my CV should show my technical background for making this Tech Blog and AI Projects
I am a Software Developer with passion for AI, ML, DL, RAG, Python, Django, FastAPI, C#, .NET, Java, Node.js, JavaScript, TypeScript, React, Vue.js, Angular, Webpack and Vite as well as other programming languages, tools and DevOps
Besides working with IT and Web Development, I have been working in other areas as well.
IT Working experience
- Freelance
- Web Developer at VM Kontorteknik
- IT Worker at the Libraries of Slagelse
- Web Developer at the former Jara IT
- Web Developer at the former Bank bankTrelleborg
Higher education
- AI, Machine Learning, Deep Learning and RAG
- Backend with Python, C#, .NET, Java and Node.js
- Frontend using JavaScript, TypeScript, React, Vue.js and Angular
- Databases with MSSQL, MySQL, MariaDB, PostgreSQL and MongoDB
- Cloud Services like Azure App Service, Vercel, Render, Neon and MongoDB Atlas
- Developing ASP.NET MVC Web Applications (20486)
- Portuguese language exam B1/B2
- AP Graduate in Computer Science
- Mathematics level C1
Skills of languages
- Danish as my native language, and I passed an exam with the level equal to C2
- English exams did I pass at the level equal to B2 written and spoken
- Portuguese exams passed in Lisbon at the level equal to B1/B2 written and spoken
- German exam at level equal to B1
- Swedish and Norwegian without writing skills
Python FastAPI with JWT Auth serving RAG by fake Embeddings (v1)
08-July-2026
Python FastAPI with JWT Auth serving a RAG Application using Groq + fake embeddings (v1) - hosted at Vercel Cloud using Serverless Functions
A Starter FastAPI + JWT Auth + Retrieval-Augmented Generation (RAG) by Groq LLM + fake embeddings + OpenAPI / Swagger - secured by HTTPS
A PostgreSQL database was used with the pgvector extension
During the development process, I used ChatGPT for assisting with code generation and Github Copilot for code inline suggestion
DevOps by VS Code + GitHub + Vercel Cloud
The Web API at GitHubPython FastAPI with JWT Auth serving RAG by Hugging Face embeddings (v2)
08-July-2026
- Python
- FastAPI
- DevOps
- Vercel
- REST API
- PostgreSQL
- AI
- Retrieval-Augmented Generation (RAG)
- Groq
- Hugging Face
- Embeddings
- LLM
Python FastAPI with JWT Auth serving a RAG Application using Groq + Hugging Face embeddings (v2) - hosted at Vercel Cloud using Serverless Functions
A Starter FastAPI + JWT Auth + Retrieval-Augmented Generation (RAG) by Groq LLM + Real embeddings by Hugging Face model + OpenAPI / Swagger - secured by HTTPS
A PostgreSQL database was used with the pgvector extension
During the development process, I used ChatGPT for assisting with code generation and Github Copilot for code inline suggestion
DevOps by VS Code + GitHub + Vercel Cloud
The Web API at GitHubPython FastAPI with JWT Auth serving a Tool-Calling AI Agent using LangChain
05-July-2026
Python FastAPI with JWT Auth serving a Tool-Calling AI Agent using LangChain - hosted at Vercel Cloud using Serverless Functions
A production-style FastAPI backend built with LangChain, Groq LLMs, and JWT authentication. The system implements a modern tool-calling AI agent architecture that automatically decides when to use external tools such as Wikipedia for factual retrieval
A Starter FastAPI + JWT Auth + LangChain + AI Agent + OpenAPI / Swagger - secured by HTTPS
During the development process, I used ChatGPT for assisting with code generation and Github Copilot for code inline suggestion
DevOps by VS Code + GitHub + Vercel Cloud
The Web API at GitHubPython FastAPI with JWT Auth serving a Tool-Calling AI Agent
04-July-2026
Python FastAPI with JWT Auth serving a Tool-Calling AI Agent - hosted at Render Cloud by Webservice
The AI agent implements a modern 3-phase Tool Agent Pipeline (Plan → Execute → Synthesize) where tools are safely selected, executed, and used to generate grounded responses using a minimal of Langchain
A Starter FastAPI + JWT Auth + AI Agent + OpenAPI / Swagger - secured by HTTPS
During the development process, I used ChatGPT for assisting with code generation and Github Copilot for code inline suggestion
DevOps by VS Code + GitHub + Render Cloud
The Web API at GitHub