Our guest today is Jan Xu, Senior Machine Learning Engineer at Deep Render, a startup developing the next generation of compression technology using Deep Learning.

This episode is a special one since Jan and I studied Civil Engineering at Imperial College London together between 2015 and 2019. In our conversation, we first talk about our bachelor degree at Imperial and how Jan made the transition from Engineering to Data Science and AI. He explains how he learned to code, the first machine learning projects that he worked on and how he managed to get a Job as a Machine Learning Engineer without any bachelor, master or even PhD in the field.

We then dig further into Deep Learning applied to computer vision where Jan describes how Deep Render uses an algorithm called Autoencoder which improves video compression and outperforms traditional approaches. He also clarifies why video compression is such an interesting problem and explains how AI can help tackle this issue.

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