Nikith Hosangadi

Yo, have you heard about Nikith Hosangadi? Dude’s a total beast in the startup world. He’s the CTO and co-founder of Preloop, a Y Combinator W24 alum, and honestly, he’s the real deal when it comes to making machine learning more accessible and expandable.

So, here’s the scoop. Nikith’s background is all about building crazy complex systems. Before jumping into startups, he was deep in the trenches at AWS, working on the networking team. That’s no joke-he was dealing with massive distributed infrastructure, the kind that keeps the internet humming. That gave him mad skills in handling large-scale, multi-tenant systems, which are basically the backbone of cloud tech today.

Then he jumped into the startup scene with Preloop. This isn’t just any company-these guys are transforming how ML scripts go from “cool experiment” to production. You know how everyone’s always talking about AI and ML but getting it into real-world apps? That’s the problem he’s solving. Nikith is leading the charge on building a platform that makes it stupidly easy for product teams to build, test, and use ML models without all the bullshit. Basically, he’s creating the Uber of ML deployment.

What’s wild is how his past experience feeds into his current hustle. He’s been around the big infrastructure block, so he understands what it takes to scale these systems. That’s why Preloop’s platform is so strong-because it’s built on someone who’s been on the front lines of distributed systems at AWS. His motivation? Dude’s probably sick of seeing talented engineers get stuck in the weeds trying to make ML work at scale. He wants to cut out that bullshit and turn ML into a tool that anyone can use without losing their mind.

Bottom line? Nikith is one of those guys who’s been through the trenches, understands what it takes to build expandable tech, and now he’s putting that knowledge into making AI and ML more practical for the real world. No Cap, he’s definitely someone to watch if you care about the future of tech and how startups can crush it by simplifying complex problems.