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Software engineering
9 publicationsThe chain rule behind autoregressive models
Autoregressive models are just the probability chain rule plus a conditional model. Here’s the mental model, the math, and what training is really doing.
Separation of Responsibilities in Spring-Based Systems: What Kotlin Makes Explicit
How Kotlin's type system sharpens responsibility boundaries in Spring-style architectures without replacing architectural discipline.
Podcast episode
A post with a Spotify episode embedded at the top.
Calculus, AI, and linear algebra: a compact field guide
A quick, code-backed refresher on gradients, Jacobians, and the linear algebra that drives modern ML.
Graceful retries in Python with backoff
A small, production-ready retry helper using exponential backoff and logging.
Streaming logs in Rust with Tokio
Build a small async log streamer that tails a file and ships JSON lines.
Why Most Postmortems Miss the Real Failure Mode
Postmortems often substitute proximate triggers for causal structure, obscuring system dynamics and latent conditions that drive failure.
Simple writing and publishing flow
A lightweight process to draft, edit, and publish consistently.
Why this blog exists
A short purpose statement: clarity, record, and real learning.