Ross ROSS = Recommend OSS · open-source software intelligence for agents

boost-devs/ai-tech-interview resource

👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디 (⭐️ 2k+) observed · 2026-08-28

github.com/boost-devs/ai-tech-interview · homepage · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

65/100

  • Activity 72
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1970
  • days_rel: n/a
  • days_push: 169
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2357 stars · 511 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A community-maintained Korean-language study repository of AI engineer technical interview questions with curated answers, covering statistics, machine learning, deep learning, and computer science fundamentals. It is also available as a GitBook site and a Streamlit practice app.

Use cases

  • prepare for an AI engineer technical interview
  • study machine learning interview questions with answers
  • review statistics and math fundamentals before interviews
  • practice deep learning interview questions
  • find a curated question bank for AI/ML job interviews

When to choose

  • you are preparing for AI/ML engineer interviews and want a broad question bank with community answers
  • you prefer structured study material organized by topic
  • you read Korean and want interview prep in that language

When to avoid

  • you need a hands-on coding course or tutorials with runnable code
  • you need up-to-date coverage of very recent LLM topics
  • you need English-only material

Facets

learning-resource · maturity active

documentation artificial-intelligence machine-learning tutorials education tech-interview study-guide interview-questions korean statistics deep-learning web-server

1 source

Member repositories

RepositoryRoleHealth v2
boost-devs/ai-tech-interviewmain65

For agents

markdown · JSON · MCP: product_card(name="boost-devs/ai-tech-interview")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem