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.
Usage of Git worktrees
A short intro to Git worktrees and how they help manage parallel tasks in the same repository without constantly switching branches.
Client-side inference using onnxruntime
ONNX Runtime Web runs ONNX models in the browser for client‑side inference.
Selected reading
- AI/ML Implementing Retrieval-augmented generation (RAG) with an own LLM
- AI/ML Client-side inference using onnxruntime
- 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
5 practical use-cases for an ML-powered RSS digest
Beside creating an ML model for an RSS digest the other fun way is to actually use it. Here I take a look at the different possible use-cases.
Optimizing a model by using metrics
This post shows how to use metrics for optimizing a model and how it helped to improve the AUC from 0.59 to 0.84.
Defining, tracking and training a machine learning model
Defining, tracking and training a machine learning model enables us to predict the articles
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
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.
