Hi, I'm Dennis. I'm a software engineer and here I write about things I dig into - mostly AI/ML, Wasm, and Java. I share what I learned to help others and my future self. You can read more about me on the About page.
Building an RSS digest: All posts
This aims to give a better structure to read the posts about the RSS digest implementation.
Note taking in 2026
A look at my note taking process in 2026
Selected reading
- AI/ML Implementing Retrieval-augmented generation (RAG) with an own LLM
- AI/ML Using LLMs for test data generation
- AI/ML Generating recommendations for blog posts with machine learning
- Wasm Wasm Component Model By Example
- Wasm Under the surface of WASI in Rust
- Wasm Creating an own WASI function
- Software Engineering Hexagonal Architecture
- Software Engineering Imperative vs. declarative programming
- Java How Spring MVC handles requests
- Java Java CRaC
- Java Preventing TOCTOU attacks
Dataset preparations for training a machine learning model
When the features are collected, they can be used for training a model. This post takes look at the preparation of the training pipeline.
Training two models for better results in recommendation systems
Training one model for two different intents can lead to issues in recommendation systems. Two models trained on different signals can help to omit this issue.
Technical view of a recommendation system
A technical view on the RSS digest which provides insights into how a recommendation system works.
Selecting the features for the RSS digest
Beside of labels the inputs for an ML model need to be selected. This article gives insights into some thoughts and concepts.
Collecting labels to train a model for an RSS digest
This article shows how to collect and store labels for to train a model for an RSS digest.