Achievements
- Founded Hegel AI, raised $2.9M in funding, Y Combinator S23 batcher
- Reduced filtering errors by 90% using generative AI models at Google
- Built distributed ML systems on TPUs with PyTorch/XLA at Google
- Led scaling of AI media systems managing tens of thousands of assets daily at Amazon
- Has 7+ years experience at Google, Amazon, Apple as an AI/ML engineer
- Holds MS in CS and BA in Math & Philosophy from University of Chicago
Highkey stan Steve Krawczyk
Lemme tell you bout Steve Krawczyk – the guy’s a straight-up AI wizard, and his story is just as wild as his creds. So, he’s a YC S23 batcher, which means he’s fresh off the startup grind, but honestly, his roots run way deeper in the tech scene.
First off, the guy’s been around the block – Google, Amazon, Apple, McMaster-Carr, Bridgewater. Yeah, he’s not just messing around. At Google, he crushed it by dialing down filtering errors by 90% with generative AI models. Think about that – he’s making AI smarter, more reliable, less bullshit. Plus, he built distributed ML systems on TPUs using PyTorch/XLA, which is some advanced stuff. That’s not beginner’s shit, that’s deep engineering.
Then he jumped into Amazon, where he led projects to scale AI media systems handling tens of thousands of assets every day. Managing that much data? It’s chaos, but he’s making it smooth as butter. This guy isn’t just about theories – he’s about making big shit work at scale.
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Talk to herNow, here’s where it gets even more interesting. He’s the founder of Hegel AI, which is backed by Y Combinator – basically the startup gold standard. He launched an open-source product, raised almost $3 million in funding, and he’s all about building expandable ML systems, synthetic data solutions, and nurturing his team. You can tell he’s not just a tech nerd; he’s got that entrepreneurial fire, the kind that pushes him to build stuff that actually moves the needle.
His background? MS in CS and a BA in Math & Philosophy from Chicago. Dude’s got brains, but he’s also got that hacker hustle. He’s passionate about AI, but more than that, he’s about pushing the boundaries – making models smarter, data more synthetic (that’s the future), and teams stronger.
Basically, Steve’s the real deal. He’s been in the trenches at the biggest tech companies, crushed complex problems, and now he’s using that to build startups that matter. His story’s about someone who’s not satisfied with the status quo – he’s out here changing the game, one open-source project and one startup at a time. If you ask me, he’s the kind of guy who’s just getting started, and I wouldn’t be surprised to see him lead the next wave of AI innovation.

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