Lessons from 2020

I have a small document where I try to weekly write goals and what I’ve achieved. Sometimes I don’t update it, but I reviewed my 2020 version and will try to take out some takeaways. Covid-19 was incredibly disruptive to our lives, but it accelerated ‘digital transformation’ in a number of industries, and we saw… Continue reading Lessons from 2020

Everything great starts small

I’m an Entrepreneur, and a few years before I officially became one. One of my best friends said to me ‘I’ve always thought you were very entrepreneurial’. I think I shirked away from that. I’ve thought recently about why a I shirked away from that for a few years. I think one reason is that… Continue reading Everything great starts small

Engineering Leadership: Lessons from Rugby

I’ve been thinking a lot lately about Engineering Leadership. This is a very difficult job for all the reasons that leadership is difficult, management is difficult and that software development is a difficult discipline. For various reasons – we as a species suck at writing software. Writing great software is HARD. Nevertheless we as a… Continue reading Engineering Leadership: Lessons from Rugby

The rise of the creator class

Unbundling of people or ‘rise of the creator class’ If you work in Tech you end up exposed to trends, and if you’re a product-focused engineer you think a lot about ‘product’, product strategy and what’s ‘coming next’. One question in our current ecosystem is ‘what’s next after marketplaces’ we’ve already seen very successful companies… Continue reading The rise of the creator class

Data Science for Decision Support: Or why Bayesian Analysis matters

One of the distinctions I like to make about modern ‘Data Science’ is between ‘data science for decision support’ and ‘machine learning’.  h Basically speaking machine learning, which is often product-focused – is generally something like ‘there’s this problem in fraud, credit scoring’ and we need an automated and deployed system. You’ll often work super… Continue reading Data Science for Decision Support: Or why Bayesian Analysis matters

I’m lost, how do I learn to use the Cloud?

Learning to use the Cloud A common question from a Developer or a student is ‘how do I learn AWS or GCP’. For those of you who don’t know AWS – stands for Amazon Web Services and GCP stands for Google Cloud Platform. At the current moment in time I’ve no opinions on Azure from… Continue reading I’m lost, how do I learn to use the Cloud?

2018: Year in Review

I did a review like this in – 2017 It’s fun to look back on what I’ve learned and what I’ve accomplished. This will be contracting focused and side projects focused. (Appologies to Julia Evans, I basically just stole her format) I got married! I won’t embarrass my wife online. But this year, after a… Continue reading 2018: Year in Review

Why Zalando’s tech radar sucks as a stack

I’ve been programming professionally for about 5 years now. So I don’t consider myself a brilliant expert. Never the less one thing I think that I’ve learned is that it isn’t about the ‘technical problems’ it’s about whether or not you solve a real-world or meaningful problem. Some people call these ‘business problems’ but they… Continue reading Why Zalando’s tech radar sucks as a stack

How do we deliver Data Science in the Enterprise

Source I’ve worked on Data Science projects and delivered Machine Learning models both in production code and more research type work at a few companies now. Some of these companies were around the Seed stage/ Series A stage and some are established companies listed on stock exchanges. The aim of this article is to simply… Continue reading How do we deliver Data Science in the Enterprise

One weird tip to improve the success of Data Science projects

I was recently speaking to some data science friends on Slack, and we were discussing projects and war stories. Something that came across was that ‘data science’ projects aren’t always successful. Somewhere around this discussion a lightbulb went off in my head about some of the problems we have with embarking on data science projects.… Continue reading One weird tip to improve the success of Data Science projects