# aakriti1318/interview_questions

A curated collection of high-quality interview questions and answers for AI-related roles. This repository helps candidates understand how interviews differ across roles, not just memorize answers.

Repository: https://github.com/aakriti1318/interview_questions
Canonical: https://ross.abutalabs.com/products/aakriti1318-interview_questions
License Family: other
Last push: 2026-05-27T21:26:35+00:00

## Health v2 (maintenance only)
Score: 53/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 84, release rhythm 35, longevity 17
- inputs: {"age_days": 244, "days_push": 98, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1055, forks 214 (observed 2026-08-28T04:03:24.150003+00:00)

## What it is
A curated collection of interview questions and answers for AI-related roles such as AI Engineer, ML Engineer, Researcher, Data Scientist, and AI Architect. It emphasizes role-specific thinking patterns and trade-off reasoning over rote memorization.

## Use cases
- prepare for an AI engineer interview
- practice machine learning interview questions
- study data science interview questions and answers
- learn how AI architect interviews differ from ML engineer interviews
- find system design questions for AI roles
- review AI researcher interview topics

## When to choose
- you are preparing for AI/ML job interviews and want role-specific question sets
- you want to understand reasoning patterns and trade-offs rather than memorize answers
- you need a free, organized reference covering multiple AI career tracks

## When to avoid
- you need hands-on coding practice or runnable examples
- you want a structured course with assessments or mentorship
- you need interview prep for non-AI software engineering roles

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: artificial-intelligence, machine-learning, education, tutorials
- platform: cross-platform
- tags: interview-preparation, ai-roles, curated-questions, career

## Member repositories
- aakriti1318/interview_questions (main) score 53

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:24.150003+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:58:28.944769+00:00, confidence not recorded.
  - readme: https://github.com/aakriti1318/interview_questions (fetched 2026-08-28T04:03:24.150003+00:00, sha 03b244045e16)
- Data as of 2026-08-30T08:39:29.467469+00:00.