dhanush kumar

Now

Updated July 2026 · this is a /now page

Working on

  • Re-architecting a Life Cycle Assessment platform to be AI-native: retrieval over regulatory and product data, agentic workflows replacing form-heavy flows, and the eval harness that keeps both honest.
  • A permission-aware RAG agent over company knowledge (Notion + Drive), with an eval set gating every pipeline change.
  • Writing one post a month here about what breaks along the way.

Learning

  • Retrieval evaluation beyond hit-rate: graded relevance and answer-level metrics on French-language corpora.
  • Cost and latency observability for LLM pipelines in production.

Reading

  • AI Engineering — Chip Huyen.
  • Papers and posts on agent evaluation; the gap between demo and production remains the whole story.