About

I'm an AI Engineer at NASA Goddard Space Flight Center, working at the intersection of machine learning, topology optimization, and advanced manufacturing.

Before Goddard, I worked at NASA's Jet Propulsion Laboratory (JPL), where I developed tools and techniques for spacecraft design and analysis. My graduate research focused on TPMS (triply periodic minimal surface) structures and additive manufacturing for heat exchangers - exploring how complex lattice geometries can dramatically improve thermal performance.

My work now spans from writing GPU kernels in Triton to designing topology-optimized structures for metal 3D printing. I'm particularly interested in how neural networks can accelerate traditional engineering workflows like finite element analysis and generative design.

Outside of work, I'm into additive manufacturing (obviously), racing, and music. I also create educational content covering Triton programming, deep learning architectures, and the engineering tools I use daily.