I’m a Machine Learning and Infrastructure Engineer with a strong backend foundation. I enjoy building reliable systems that turn ML into something teams can actually ship—clean pipelines, scalable services, and production-ready deployments. Recently, I’ve been working on ML and data-processing workflows at UC Berkeley, building modular pipelines and real-time ML components with a focus on performance and reproducibility. Before that, I built infrastructure tooling and backend services in Go and Rust, and helped scale large systems to handle significantly higher demand.
⚡ When I’m not at my desk, you’ll probably find me at the gym or with my next Brandon Sandersons' novel, depending on how lucky I'm feeling 😄
📫 How to reach me: [email protected]
With a passion for pushing boundaries and a penchant for problem-solving, I'm always ready to roll up my sleeves and dive into the next big thing. Let's code some magic together!
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