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I'm a software engineer who builds production systems at the intersection of backend, data, and applied AI. I care about shipping useful products, making complex systems reliable, and turning ambiguous problems into straightforward tools people actually use.

My background includes building data platforms and AI systems in biotech and healthcare, most recently at Scispot and earlier at nference, where I co-invented a system for determining relationships between phrases in a text corpus. That work sharpened how I think about scalable infrastructure, messy real-world data, and delivering software in high-stakes environments.

I'm currently focused on making model training and inference cheaper and faster, and I'm looking for opportunities where I can contribute across product engineering, platform work, and applied AI. If you need someone who can move from idea to implementation without a lot of hand-holding, we should talk.