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Panolof/README.md

Pano Pouroullis

AI Data Scientist building safety infrastructure for AI-assisted workflows.

What I work on:

  • Evaluation pipelines for frontier model behaviour (Inspect AI, multi-turn, cross-condition)
  • Cross-model verification — different model families catching what same-family review misses
  • Agentic safeguards — permission architectures, deterministic scripts, and hook systems that constrain AI agent behaviour
  • Mechanistic interpretability (circuit tracing, sparse autoencoders)

Writing: observatoryledger.com

BEng Electronic Engineering (Cum Laude), University of Pretoria. Python, TypeScript, SQL.

Pinned Loading

  1. inspect-ai-sycophancy-eval inspect-ai-sycophancy-eval Public

    Does a model keep the right answer when a user pushes back? A deterministic Inspect AI eval, with one dated two-model run.

    Python

  2. rag-vector-search rag-vector-search Public

    Local-first RAG demo with Milvus Lite, deterministic embeddings, relevance gating, a Flask UI, and an optional OpenAI CLI adapter.

    Python 2