I build scalable applications and end-to-end machine learning pipelines, architect cloud-native services, and deliver both software and data solutions that accelerate innovation.

Patrick Alfei Sæbø
ABOUT_ME
Patrick Sæbø

I’m a passionate Data Scientist specializing in machine learning, LLMs, and transformers, with a strong foundation in data analysis and software development. After years as a data analyst, I founded a software business where I built various AI-driven solutions used by thousands across the globe.

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Data Science

Python
Jupyter
Pandas
Seaborn
TensorFlow

ML Ops

AWS
Docker
Azure
Snowflake
Kubernetes

Frontend

React
Tailwind CSS
TypeScript
Next.js
CSS / SCSS
Redux

Backend

SQL
Firebase
LangChain
MongoDB
FastAPI
GraphQL

Tooling

Power BI / DAX
Git / GitHub
Linux
Lua / Neovim
Plotly
RECENT_WORK
Leadership & ROI BI Dashboards
Sparebank 1 Finans Østlandet

Leadership & ROI BI Dashboards

View Project
Handcrafted high-end wooden furniture
Skei 1123

Handcrafted high-end wooden furniture

View Project
BLOG

Recent blog posts

How Do We Estimate f? Turning Data into a Working Rule
data-science-foundations

How Do We Estimate f? Turning Data into a Working Rule

From choosing a loss function to running gradient descent and validating with cross-validation—this guide walks beginners through the nuts and bolts of training a model.

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NumPy for Absolute Beginners: Arrays, Operations & a Handy Cheat Sheet
python-foundations

NumPy for Absolute Beginners: Arrays, Operations & a Handy Cheat Sheet

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Prediction vs Inference: Asking the Right Question
data-science-foundations

Prediction vs Inference: Asking the Right Question

Before choosing an algorithm, choose your goal. Here’s how to tell if you need the right number or the right story—and why that choice changes everything that follows.

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