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Short notes on the problems behind the projects — retrieval, forecasting, and the engineering calls that don't fit on a résumé.

2 min read

A RAG agent that knows when it is unsure

Retrieval-augmented generation is easy to demo and hard to trust. Here is how I made a question-answering agent score its own confidence — and stay quiet when the context does not support an answer.

  • RAG
  • LLM
  • Evaluation

1 min read

Forecasting temperature across 211 countries

A single global model beat per-country Prophet baselines by roughly 75% on average error. The interesting part was not the architecture — it was refusing to train 211 separate models.

  • Forecasting
  • Time Series
  • MLOps