Rob de Wit
Utrecht, the Netherlands
About me
I like working with data and tech to help people solve problems. Although I am comfortable with the "harder" aspects of data engineering and data science, I firmly believe that tech shouldn't be self-serving. What I like doing best is connecting with people, sharing knowledge, and discovering how data can help improve life and work.
Friends and colleagues describe me as ambitious, decisive, and result-oriented. The question I like to ask most is "Why?" and the answer I would rather not hear is "Because we have always done it this way."
I have a business informatics background and experience in data analytics and engineering. Most recently, I worked as a developer advocate at Iterative, where I got to learn a lot about MLOps. I really liked that my work there heavily involved community outreach and facilitating learning experiences: speaking at conferences, hosting workshops, writing technical guides, and helping construct an online course.
✳️ Open to work
I am on the lookout for the next step in my career, preferably remote as a freelancer or contractor. Please get in touch if you've got an exciting opportunity!
Public speaking
Lately I have been lucky enough to get the opportunity to speak at several events:
- 2023-04-20 Transforming a Jupyter Notebook into a reproducible pipeline for ML experiments PyCon US, Salt Lake City - Slides
- 2023-02-21 GitOps for ML: Converting Notebooks to Reproducible Pipelines DataTalks.Club, Online - Workshop recording
- 2022-12-02 Becoming a Pokémon Master with DVC: reproducible machine learning experiments PyData Eindhoven — Talk recording
- 2022-10-06 Becoming a Pokémon Master with DVC: Experiment Pipelines for Deep Learning Projects Deep Learning World, Berlin
- 2021-10-21 The measurable world Guest lecture at Utrecht University
- 2020-06-15 Fraud & Data at bol.com Studievereniging Sticky, online
Blog posts
I like to share some of the stuff I learned through blog posts. Here's a list of what I've written thus far:
- Setting up a remote NAS with Tailscale to manage my photo archives
- From Jupyter Notebook to DVC pipeline for reproducible ML experiments (↪ for Iterative)
- CML Cloud Runners for Model Training in Bitbucket Pipelines (↪ for Iterative)
- Turn Visual Studio Code into a machine learning experimentation platform with the DVC extension (↪ for Iterative)
- Training and saving models with CML on a self-hosted AWS EC2 runner - part 2 (↪ for Iterative)
- Training and saving models with CML on a self-hosted AWS EC2 runner - part 1 (↪ for Iterative)
- Lessons learnt forcing data science measures upon my colleagues
- A boring truth: your meeting needs an agenda
Projects
Outside of work I love trekking through nature and sleeping in a tent. When not travelling, I really enjoy organising stuff. Perhaps you might know me from one of the events I have organised in the past: