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Overview

About I am a data and software engineer with over a decade of experience working with data in scientific research, startups and established businesses. I have a PhD in Chemistry from Imperial College London, where I built chemical reactors to make high-quality nanoparticles for solar photovoltaics.

News

Blog 5 days ago
The benefits of data lakehouses are overstated: open data != open platform
A data lakehouse architecture stores data in open table formats (like Apache Iceberg or Delta Lake ) on object storage (like S3). Broadly, open table formats make object storage behave less like a data lake and more like a data warehouse by adding support
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Blog 7 months ago
Staging is a wasteful lie: the case for the mono-environment
It is common for software engineering teams to deploy new versions of their software to staging environments before deploying it to users in production. In this post I argue that non-production environments are inherently wasteful and describe an alternat
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Blog 9 months ago
AGI fantasy is a blocker to actual engineering
Reading Empire of AI by Karen Hao , I was struck by how people associated with OpenAI believe in AGI. They really do think someone, perhaps them, will build AGI, and that it will lead to either the flourishing or destruction of humanity. Elon Musk founded
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Blog 1 year ago
Understanding Kotlin DSLs
I'm learning Kotlin for a new job and I was confused by type-safe builders . They're used to create domain specific languages (DSLs) in Kotlin. Two common use cases are configuring routes in Ktor server or building HTML . I think they're confusing because
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Blog 2 years ago
What do you learn from your MVP?
Minimum viable product (MVP) has become meaningless business jargon. The problem with so-called MVPs is that no one learns anything from them. There is no hypothesis under test. If your MVP doesn't unambiguously validate or invalidate a hypothesis, then i
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