MLOPs Substack

Embracing A.I in F1.

A dive into the growth of A.I and how this may impact F1

Aug 7 • 

Tobi John

1

January 2025

Regulations, Innovation, and the McLaren MP4/1.

With F1 comes adaptability and innovation.

Jan 18 • 

Tobi John

3

December 2024

Maserati Charts 🏁

A time series chart making use of Grafana, a useful dashboarding tool for MLOps Engineers.

Dec 13, 2024 • 

Tobi John

3

September 2024

The Core

So you want to become an MLOps Engineer?

Sep 17, 2024 • 

Tobi John

1

August 2024

Optimising Data Assets in F1 Racing

Abiding by the regulations and optimising data use in F1.

Aug 19, 2024 • 

Tobi John

4

Building Resilience 🏁

Building resilient data pipelines in F1.

Aug 2, 2024 • 

Tobi John

2

May 2024

Feature Store Design Pattern

Write-up on the benefit of the feature store design pattern, an approach MLOps Engineers should be familiar with.

May 28, 2024 • 

Tobi John

1

Asynchronous Data Loading - 🏁

As we have learnt in software engineering, optimizing time complexity is vital.

May 27, 2024 • 

Tobi John

1

Managing Memory - 🏎️

When building applications, some performance measures you should be concerned with, especially when getting your application production ready, are speed…

May 24, 2024 • 

Tobi John

2

April 2024

Automation - The Principal thing.

Letter on the importance of automation in MLOps and its prevalence in formula 1 racing.

Apr 7, 2024 • 

Tobi John

2

January 2024

Sustainability at the Edge

A look into racing teams developing and building their cars and systems around sustainability and cost restraints.

Jan 18, 2024 • 

Tobi John

2

December 2023

Fuel Efficiency for Max Performance

...not Verstappen.

Dec 23, 2023 • 

Tobi John

3