Mattia Mascia
Hey! I'm really excited about the Principal Machine Learning Engineer role on the OpenShift AI team 🚀. I know my path hasn't been the typical engineering track, and honestly, that's what makes me perfect for this role. I've partnered closely with Principal and Senior Principal engineers, delivering real impact through Kubernetes/OpenShift platforms, building operators, and transforming PoCs into production ready solutions. Having run technical interviews for Senior and Principal candidates at Red Hat, I know no one is ever "100% ready", but I've seen firsthand what matters: the ability to innovate fast, lead by example, and bridge upstream communities like Kubeflow with enterprise reality. I'm already using AI-assisted dev tools daily (Cursor and Claude are my daily drivers!), I thrive in open source communities, and I bring that rare mix of Python/Go expertise, Kubernetes mastery, and MLOps understanding you need. Sometimes it's about trust and giving someone the chance to prove themselves, and I'm ready to show you exactly why I'll excel at delivering fine-tuning capabilities and driving your training and experimentation stack forward 🎯.
What I Actually Do
I'm a polyglot programmer: Go, Python, Java, TypeScript, and whatever gets the job done. New language? Give me a weekend, I'll ship production code. I love learning because every tech stack teaches you something new. Built CI/CD pipelines, Kubernetes operators, and enterprise distributed systems. Shipped 30+ enterprise projects across banking, insurance, telco, and government. Always focused on bulletproof, observable systems. 🚀
The Customer Whisperer
I'm the bridge between customers and engineering. I translate messy requirements into buildable solutions. Caught countless "that won't work in production" moments before they became problems. Less scrambling, more shipping. I make sure we build what customers actually need, not what we think they want. 🤝
My Coding Philosophy
I do "vibe coding" the professional way: pair with AI, review every line. Need Rust? Elixir? I'll learn it fast with AI assistance and ship quality code. Think of AI as a brilliant junior who knows everything but sometimes hallucinates npm packages. I guide, they generate, we iterate. The future of coding, with adult supervision. 🤖
Yeah, I'm That Guy
I find inspiration everywhere. KPop Demon Hunters' tracks about finding beauty in broken glass? That's exactly how I approach legacy code - there's elegance hidden in the chaos. Good music keeps teams energized through complexity. Sometimes you need that creative lens to see solutions. 🎵
Why OpenShift AI Gets Me Excited
OpenShift AI is where MLOps meets enterprise scale. Working with Kubeflow, Ray, and MLFlow to deliver fine-tuning capabilities? That's the future. I want to help build the training and experimentation stack that makes LLM training, continual learning, and reinforcement learning accessible to every enterprise. Let's make ML operations boring (in the best way) by making them just work. 💡