Vamsi Varanasi

Hands-on AI skills
backed by 10+ years of product depth

Meet Vamsi — product leader with an active GitHub

AI Skills? Honed by doing.

Because your team needs more than "I took a course".

  • Vector Explore

    Retrieval Augmented Generation (RAG)

    The fastest way to understand RAG is to run it.

    Download a public-domain novel, chunk it, embed it, spin up a local vector DB, and watch every step including retrieval and augmented generation happen in front of you, as you "chat with the novel". Classic build to learn.

    Get it on GitHub →
  • Track Slack

    Model Context Protocol (MCP) Apps

    Got a Slack full of forgotten promises?

    You said you’d follow up. Then Slack happened. Track Slack reads your sent messages, uses LLM reasoning to identify commitments, and serves a live dashboard inside ChatGPT or Claude. Just say "track my promises" to your agent, keep your promises, and boost your credibility.

    Get it on GitHub →
  • Sorted Signals

    Workflow Automation (n8n)

    An experiment in agentic journalism.

    A test-bed newsletter run on a self-hosted n8n community instance — Sorted Signals pulled the latest AI developments from RSS feeds, read websites with Jina, and drafted a weekly article. Supabase for storage. OpenRouter for inference.

    Read the newsletter →
  • Just Talk

    Agent Skills

    "Just talk to the AI" is good advice — until you have to do it all over again.

    Just Talk keeps the conversation going with targeted questions until you’ve said everything you need to say, then stores it all in a structured, reusable format. Your context is there the next time you need it. Who knew a plain old text file could be so powerful?

    Get it on GitHub →

My product leadership journey

How I became the product leader you can rely on for company-shaping outcomes

  1. 2021 – 2025

    Delivery Hero SE

    Global Product Lead — Incentive Fraud & RTM

    Built the company-wide incentive fraud capability for a $1B+ annual spend — and saved ~€450k/year in RTM infrastructure by cleaning up the data pipeline.

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