Writing
Essays & notes
Essays on AI ethics and the ML systems & infrastructure that make models actually run in production.
Who Is Accountable When the Agent Acts?
As agents move from suggesting to acting, our frameworks for consent and liability strain. A taxonomy of agentic accountability grounded in real interface decisions.
Evaluation Harnesses Are an Ethics Problem
Safety isn't a post-training checkbox — it's a measurement problem. What belongs in an eval suite before you ship, and why the harness itself encodes values.
Latency Budgets for Real-Time ML Serving
Inference isn't just model quality — it's queues, batching, and tail latency. Notes on designing serving paths where milliseconds actually matter.
Why ML Pipelines Belong on the Stream
Batch training and online inference often meet at a Kafka topic. A field guide to language boundaries, backpressure, and keeping the model off the critical path until it needs to run.