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  • Software Competence Center Hagenberg
  • Linz, Austria

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dajoedic/README.md

Servus, I'm David 🤙

I'm a Senior Data Scientist & Researcher working on machine learning, dynamical systems and applied AI.

Most of my work is around interpretable models, scientific machine learning, graph-based methods and industrial ML applications. I also like building small tools when I run into a problem that annoys me enough.

Current work

  • Interpretable and data-driven models for dynamical systems
  • Graph Neural Networks for mobility applications
  • Predictive and Prescriptive Maintenance
  • Reproducible ML experiments and research software

Selected projects

A Julia framework for discovering interpretable ODE systems from time-series data.

The project focuses on incremental model growth, reproducible experiments and the question of how much model complexity is actually necessary.

A local personal AI assistant with persistent memory, structured data and multiple domain-specific agents.

Built with Next.js, TypeScript, SQLite and LLM APIs.

A small keyboard-driven tool for cutting and categorizing handball video scenes.

Built because manually cutting match footage is annoying.

Topics I usually work with

Interpretable ML · Dynamical Systems · Scientific ML · Graph Neural Networks · Predictive Maintenance · Explainable AI

Tech

Python · Julia · PyTorch · PyTorch Geometric · TypeScript · SQL · Docker · Kubernetes

Pinned Loading

  1. EvoODE EvoODE Public

    A Julia research framework for data-driven discovery of interpretable ODE systems from time-series data, with a focus on coupled multi-dimensional systems.

    Julia

  2. evergreen evergreen Public

    A persistent, chat-first personal assistant system for four life domains — Daily, Health, Nutrition and Growth — running entirely on your machine.

    TypeScript

  3. videocutter videocutter Public

    Fast, keyboard-driven video cutting for handball analysis. Designed for coaches and helpers with no technical background.

    Lua 1