Software engineer. I build distributed systems by day and take apart neural networks by night to see what's inside.
Curious about how complex behavior emerges from simple components cooperating under constraint. Currently finding out the hard way.
distributed systems consensus, failure modes, the gap between theory
and what actually breaks at 3am
deep learning computation graphs, training dynamics,
understanding models as machinery not magic
open source just getting started — looking for good problems
- if something is worth understanding, it's worth building from scratch once
- the most interesting bugs live at boundaries between systems
- complexity isn't the enemy — unmanaged complexity is
- will chew glass to build something interesting
confused carbon-based lifeform · mostly water · 1 atm

