Essays & Field Notes

Writing

Reflections on discovery scaling in civil rights litigation, systemic data analysis, local AI infrastructure, and reproducible engineering.

Principled MLOps for Human-Impact & Civil Rights Projects

Core operational principles for building reliable, auditable machine learning systems in privacy-sensitive and adversarial contexts.

My concerns on future pain points in the civil rights space.

Network graphing, temporal windowing, and topic discovery over internal institutional communications to uncover hidden structures.