ML System Design for Data Scientists (How Senior Data Scientists Actually Think About ML Systems)
This is the real shift in the job market
Future Proof Data Science
A weekly newsletter for data scientists who want to stay relevant and grow their careers in the age of AI (and beyond)
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Latest posts
Google's TabFM: What Data Scientists Should Know About This New Foundation Model
Is this the end of Machine learning as we know it?
CI/CD for Data Scientists: How to Automate the Engineering Habits You’ve Built
👨💻 Welcome to the Engineering Skills for Data Scientists series, where I’ll be teaching the engineering skills that quietly separate data scientists who can ship from the ones who can’t.
FastAPI for Data Scientists: How to Turn Your Model into a Real Service
You trained the model, now make sure someone else can use it.
Reproducible Environments with uv: Stop Fighting Python on Every New Project
Replace pip, conda, venv, and Poetry with one tool that's 10x faster
Testing & Logging: How to Know Your Code Actually Works
Data scientists skip this, engineers don't, and it shows.
Pydantic: Data Validation That Spans MLOps and LLMOps
Start writing data science code that holds up in production
Introducing Engineering Skills for Data Scientists (Summer Series)
A free 5-week series of practical articles to level up your engineering skills.
When Is It Actually a RAG Problem?
How to tell RAG from MCP, semantic layers, and other patterns people often confuse it with
Building Your First Claude Skill: An Analytical Peer Reviewer for Data Scientists
A step-by-step build for a Skill that stress-tests your analysis, not just your code