#hackathons

#hackathons

If you want to work in AI, you need to show that you can actually do the work. Launch real projects using public datasets, deploy a demo, post your work on GitHub, or write about it on a blog. Participate in hackathons - they're a fantastic way to demonstrate initiative and teamwork in a short time. We organize hackathons ourselves and are often impressed by what participants produce. It's concrete proof of what you can do.

I got my Master's in Computer Science in 2011, and like others, I got tracked into coding as a software engineer. I started my career as a Java engineer developing software applications. Six or seven years later, I came across the profile of machine learning. Machine learning was not in a boom at that moment. The projects we got were almost always software engineering; machine learning projects were really, really hard to get.