View the Projects by pagnition

A Blog full of AI Projects

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My CV

31-May-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 House Price Predicting using Deep Learning with the Ames Housing Dataset (v8)

26-May-2026

Python FastAPI with JWT Auth predicting House Prices using PyTorch and focusing on Tests (v8) - hosted at Vercel Cloud using Serverless Functions

This version is using the Ames Housing Dataset predicting houce prices by a PyTorch-trained MLP model exported to ONNX format ready for running at various platforms and focusing of different kinds of Tests and a Vue 3 SPA

Try the demo by OpenAPI...

Try the demo by a Vue 3 SPA...

A Starter FastAPI + JWT Auth + Deep Learning + Tests + ONNX + House Price Predicting + Ames Housing Dataset + OpenAPI / Swagger + Vue SPA - 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 GitHub

The Vue SPA at GitHub
Python FastAPI with JWT Auth serving ML Inference API solving the XOR Problem by PyTorch

25-May-2026

Python FastAPI with JWT Auth serving a PyTorch-trained MLP model exported to ONNX with strict XOR input validation - hosted at Vercel Cloud using Serverless Functions

Try the demo by OpenAPI...

A Starter FastAPI + JWT Auth + Deep Learning to solve the XOR Problem + 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 GitHub
Python FastAPI with JWT Auth serving House Price Predicting using Classic Machine Learning with the Ames Housing Datase (v7)

06-May-2026

Python FastAPI with JWT Auth prediction House Prices using Linear Regression (v7) - hosted at Vercel Cloud using Serverless Functions

This version is using the Ames Housing Dataset predicting houce prices by a model trained by Linear Regression exported to ONNX format ready for running at various platforms

Try the demo by OpenAPI...

A Starter FastAPI + JWT Auth + ML + Linear Regression + ONNX + House Price Predicting + Ames Housing Dataset + 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 GitHub
Python FastAPI with JWT Auth serving ML Inference API predicting house prices using Ames Dataset and PyTorch (v6)

05-May-2026

Python FastAPI with JWT Auth predicting House Prices (v6) - hosted at Vercel Cloud using Serverless Functions

This version is using the Ames Housing Dataset predicting houce prices by a PyTorch-trained MLP model exported to ONNX format ready for running at various platforms

Try the demo by OpenAPI...

A Starter FastAPI + JWT Auth + Deep Learning + ONNX + House Price Predicting + Ames Housing Dataset + 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 GitHub

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AI - Machine Learning - Deep Learning - RAG