Stefan Krawczyk

This legend right here is Stefan Krawczyk – this guy’s a total beast in the AI and data world. He’s a W23 batch at YC, but honestly, his story is way bigger than just that. It’s like a rollercoaster through the tech universe.

So, Stefan’s been in the game for over 15 years, right? He’s done everything from big-name companies like LinkedIn, IBM, Stitch Fix, Nextdoor, Idibon, to research at Honda and Victoria University of Wellington. The dude’s seen all sides of the tech coin – building products, infrastructure, leading teams, and pushing the boundaries of machine learning and data science.

He’s not just some exec – he’s a legit innovator. Co-created Hamilton, this sick open-source Python framework that’s all about making data science and ML pipelines easier and faster. Basically, he’s been pushing open source tools to make AI development more reliable and accessible. That’s his jam. Now he’s the CEO and co-founder of DAGWorks Inc., which is backed by YC – a startup focused on open source tools for reliable AI agents and ML pipeline orchestration. Think of it like the plumbing behind the AI hype – making sure everything runs smooth, expandable, and dependable.

But what really stands out is his motivation. Stefan’s all about solving real problems, not just building for the sake of it. His background at Stanford, where he got his Master’s in CS with Distinction, shows he’s got the brains, but it’s his hands-on experience that makes him the real deal. He’s built self-service ML platforms at Stitch Fix, led teams at Nextdoor and LinkedIn, and worked at Honda’s research labs. Each step shows he’s obsessed with making AI work better, faster, and more trustworthy.

And he’s not just behind the scenes – he’s out there talking at conferences, guest lecturing at Stanford, sharing his knowledge. That’s how you know he’s truly passionate about this stuff, not just chasing a paycheck. He wants to push the whole industry forward.

Bottom line? Stefan’s the kind of guy who jumped into the deep end early, learned all the hard lessons, and now he’s building the tools to make AI more reliable for everyone. He’s a builder, a thinker, and a leader who’s shaping the future of how we develop and trust AI. No Cap, he’s one to watch.