REPOGEO REPORT · LITE
alirezadir/Machine-Learning-Interviews
Default branch main · commit e6128f6c · scanned 6/21/2026, 6:18:12 AM
GitHub: 8,436 stars · 1,484 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface alirezadir/Machine-Learning-Interviews, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Clarify README's immediate purpose and unique value
Why:
CURRENTREADME starts with badges, then 'News' section about coaching.
COPY-PASTE FIXAdd a concise, direct statement about the repo's purpose and its key differentiator (up-to-date GenAI/LLM content) right after the main title, before the 'News' section. For example: 'This repository is a comprehensive, up-to-date guide for Machine Learning and AI technical interviews, featuring the latest GenAI and LLM topics (updated for 2026).'
- highhomepage#2Add Homepage URL to repository metadata
Why:
COPY-PASTE FIXhttps://aimlinterviews.io
- mediumreadme#3Enhance README's introduction with a 'What You'll Find' or 'Key Features' section
Why:
CURRENTThe README has a 'News' section and then dives into chapters.
COPY-PASTE FIXAdd a brief section (e.g., 'What You'll Find' or 'Key Features') immediately after the main purpose statement that highlights the types of content covered, such as: 'This guide covers ML/AI system design, LLMs & Agentic AI, technical interviews, behavioral interviews, and leadership interviews.'
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Cracking the Coding Interview · recommended 1×
- Machine Learning Interview Questions · recommended 1×
- Deep Learning Interviews · recommended 1×
- LeetCode · recommended 1×
- HackerRank · recommended 1×
- CATEGORY QUERYWhat resources are available to prepare for machine learning and AI technical interviews?you: not recommendedAI recommended (in order):
- Cracking the Coding Interview
- Machine Learning Interview Questions
- Deep Learning Interviews
- LeetCode
- HackerRank
- Elements of Statistical Learning
- Towards Data Science
AI recommended 7 alternatives but never named alirezadir/Machine-Learning-Interviews. This is the gap to close.
Show full AI answer
- CATEGORY QUERYHow can I practice machine learning system design questions for AI engineering roles?you: not recommendedAI recommended (in order):
- Designing Machine Learning Systems by Chip Huyen
- Machine Learning System Design Interview by Alex Xu and Sijie Guo
- System Design Interview – An Insider's Guide by Alex Xu
- Grokking the Machine Learning Interview (Educative.io course)
- Machine Learning Engineering by Andriy Burkov
- Building Machine Learning Powered Applications by Emmanuel Ameisen
- System Design Interview (YouTube channel)
- AlgoExpert (YouTube channel)
- Code with Purna (YouTube channel)
AI recommended 9 alternatives but never named alirezadir/Machine-Learning-Interviews. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of alirezadir/Machine-Learning-Interviews?passAI did not name alirezadir/Machine-Learning-Interviews — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts alirezadir/Machine-Learning-Interviews in production, what risks or prerequisites should they evaluate first?passAI named alirezadir/Machine-Learning-Interviews explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo alirezadir/Machine-Learning-Interviews solve, and who is the primary audience?passAI did not name alirezadir/Machine-Learning-Interviews — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of alirezadir/Machine-Learning-Interviews. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
Live preview[](https://repogeo.com/en/r/alirezadir/Machine-Learning-Interviews)<a href="https://repogeo.com/en/r/alirezadir/Machine-Learning-Interviews"><img src="https://repogeo.com/badge/alirezadir/Machine-Learning-Interviews.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
alirezadir/Machine-Learning-Interviews — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite