“If something can go wrong, it will” – Murphy's Law
For those who grew up in the 1990's, modern web development sometimes feels like massive overkill. It's now all about SPAs (single-page applications) with complex javascript frameworks, but let's be honest, does everybody actually need it? From an end-user perspective, for most use cases (corporate front-ends, forums etc), the old paradigm of static pages and … Continue reading Building a Scalable React App with Next.js
Crypto trading has been all the rage over the past few years, and people tend to forget that there are many many more trading opportunities in the real world than in the crypto world. Unfortunately, the real world is often using outdated tech and it can be a real pain to finally manage to perform … Continue reading Trading Automation with Interactive Broker API, Python and Docker
Testing deep learning neural networks on public datasets is fun, but it's usually on unseen data that you can really see how the published techniques really perform. Recently, I was trying to detect human faces on Game of Thrones footage. I was surprised to see that the most widely used techniques didn't fare really well. … Continue reading State of the art (2019) face detection with RetinaFace and MXNet
I've been lately regularly working with strategy consultancies, on data and AI matters. While corporate ambitions everywhere around data/AI are rising, when it comes to day-to-day operations, most of the data is still fragmented among many databases, and people use Excel sheets as exchange format. This in itself is interesting, because it means a corporate … Continue reading Excel to Pandas to PostgreSQL: Data Science for Strategy Consulting
Tech from the Front Line 