Our MLOps Story: Production-Grade Machine Learning for Twelve Brands
Things we learned building an MLOps platform with limited means at DPG Media: SageMaker, MLflow, Terraform, and a team of two serving a dozen brands.
// Senior AI/ML Engineer · Netherlands
Hi, I'm JeffreyPerson. I work on AI and machine learning in production.
You've reached my little corner of the internet. I'm a senior AI and ML Engineer with a focus on MLOps, natural language processing and LLMs. This site has my blog and pet-projects.
What I work on
04 areas01
ML Platforms & MLOps
Building ML platforms teams deploy on, with SageMaker, Databricks, Airflow, MLflow, and Terraform, so models stay maintainable and monitored.
02
Cloud, across the big three
I've been hands-on with AWS, GCP, and Azure, backed by certifications on each. I've helped AWS shape their ML certification exams too.
03
NLP & LLMs
Natural Language Processing is what I feel most comfortable with. Transformers, classification, and search over messy real-world language, now increasingly with LLMs and agentic workflows.
04
Models in production
Recommendation, ranking, and job-enrichment models serving real traffic at scale, with the plumbing to keep them sharp.
From the blog
All posts →
Thoughts on the state of Machine Learning Engineering
The ML Engineer title went mainstream, but MLOps never quite consolidated. Notes on the tooling sprawl and the platform we built at DPG Media.
Finding where I stand in the Data Science world by web scraping job openings
A fun exercise in text analytics on job postings and a resume, starring tf-idf and t-SNE, to find which data role actually suits my profile best.
The class of 2015 - An analysis in what jobs the people I graduated with ended up
I collected the job titles of the people I started my Computer Science degree with, to see where a cohort actually lands years later.