About

This site hosts public, open-access interview-prep guides for data science, ML engineering, and AI engineering roles (target audience: mid-to-senior IC candidates, L4–L6 equivalent). Per-guide content lives in sibling repos and deploys to subroutes of this hub.

Author

Brandon Behring — applied math PhD (2022), data scientist, currently working toward an Anthropic 1-year arc (Fellows / Research Engineer / Alignment Science). These guides are a career-bridge artifact: they let me crystallize material I work with, demonstrate AI-assisted authoring methodology at scale, and contribute the kind of compact, equation-fluent technical writing that doesn’t yet exist for this audience across the open web.

AI collaboration

For the full workflow — which skills, which prompts, which review steps — see /methodology.

This site follows the AI-collaboration disclosure norms set by ACM 2023, Nature 2023, and COPE 2023. AI tooling is not listed as an author; humans take final responsibility.

Licenses

• Content (text, diagrams, prose under src/content/): CC BY 4.0
• Source code (Astro config, scripts, .github/workflows/, .claude/skills/): MIT

Each per-guide repo carries its own LICENSE + LICENSE-SCRIPTS following the same split.

Repos

• Hub (this site): github.com/brandon-behring/guides
• Pilot guide (Phase 1): github.com/brandon-behring/guides-experimentation
• Scaffold: github.com/brandon-behring/book-scaffold-astro

Status

• Phase 0b (Q3 2026, ongoing): hub bootstrap + pilot skeleton. This page is live; the pilot guide is in development.
• Phase 1 (Q3–Q4 2026): pilot guide v1.0 — full 16-chapter experimentation guide.
• Phase 2 (Q1 2027): second guide (prompt injection — Anthropic-arc-relevant).

See /methodology for the full roadmap, design rationale, and AI-collaboration discipline.