LinkedIn Post — ML Interview Prep Kit Launch
Version A: Problem-first hook
I spent 6 months preparing for ML/AI interviews. Somewhere around tab #47 and my third abandoned Notion database, I realized: the problem isn’t a lack of resources. It’s the absence of a system.
So I built one. And now I’m open-sourcing it.
ML Interview Prep Kit — a comprehensive toolkit for ML/AI/Data Science interview preparation:
📚 100+ topics across 14 categories (ML foundations → LLMs → Agentic AI → MLOps) 🧠 Interactive mind map to visualize everything you know (and don’t) 📋 Interview tracking templates with 10 design decisions baked in 💼 Career frameworks — offer decision matrix, negotiation tactics, STAR methodology 🤖 AI prompt templates that work with Claude, Gemini, or ChatGPT
Every topic has two layers: a quick-reference table for revision, and a detailed explanation with interview phrasing you can actually say out loud.
The knowledge base isn’t a textbook summary — it grew from real interviews. Every question I couldn’t answer well became a new section or expansion.
🔗 Live mind map: interview.prasanth.io 🔗 GitHub: github.com/prasanth-ntu/ml-interview-prep-kit
MIT licensed. Fork it, make it yours, and add your own topics.
If you’re prepping for ML interviews — or know someone who is — I hope this saves you some of the chaos I went through.
machine-learning ai interview-prep open-source data-science llm ml-engineering
Version B: Personal story hook
What started as messy interview notes in a markdown file became a 100+ topic knowledge base, an interactive mind map, and an open-source toolkit.
6 months of real ML/AI interviews taught me that the hardest part isn’t knowing the material — it’s organizing it so you can actually retrieve it under pressure.
I built ML Interview Prep Kit to solve this:
🧠 Interactive mind map at interview.prasanth.io — see all 100+ topics and how they connect 📚 Two-layer knowledge base — quick reference + deep dives with interview phrasing 📋 5 interview tracking templates — research, rounds, prep tracker, quick ref, postmortem 💼 Career frameworks — offer comparison, negotiation, STAR stories 🤖 AI prompt templates for prep workflows (Claude, Gemini, ChatGPT) 🛡️ PII scanner — safely add your own notes without accidentally committing company names
The mind map is auto-generated from the knowledge base. Edit the markdown, run one command, and the visualization updates. No manual syncing.
Now open-source (MIT): 🔗 interview.prasanth.io 🔗 github.com/prasanth-ntu/ml-interview-prep-kit
Fork it, add your own topics, track your own pipelines.
machine-learning interview-prep open-source ai data-science ml-engineering career-growth
Version C: Shortest / punchiest
I open-sourced my ML interview prep system.
100+ topics. Interactive mind map. Interview tracking templates. Career frameworks. AI prompt templates.
Built over 6 months of real interviews. Every topic I couldn’t answer well became a new section.
🧠 interview.prasanth.io — explore the mind map 📦 github.com/prasanth-ntu/ml-interview-prep-kit
MIT licensed. Fork it and make it yours.
machine-learning ai interview-prep open-source
Notes for posting
- Image: Screenshot of the mind map (dark mode, zoomed to show topic clusters). The insurance post used the dashboard GIF — equivalent here is the mind map with search/zoom in action.
- Alt text: “Interactive mind map showing 100+ ML/AI/Data Science topics across 14 categories”
- Link in comments: If LinkedIn truncates the URLs, put them in the first comment
- Tag: Consider tagging your brother as co-contributor