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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: panolof.substack.com

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

Pinned Loading

  1. all-agentic-architectures all-agentic-architectures Public

    Forked from FareedKhan-dev/all-agentic-architectures

    Implementation of 17+ agentic architectures designed for practical use across different stages of AI system development.

    Jupyter Notebook

  2. autoresearch-public autoresearch-public Public

    Forked from karpathy/autoresearch

    AI agents running research on single-GPU nanochat training automatically

    Python

  3. claude-code-is-programmable claude-code-is-programmable Public

    Forked from disler/claude-code-is-programmable

    Scale your compute with Claude Code as a programmable agentic coding tool

    Python

  4. claude-code-templates claude-code-templates Public

    Forked from davila7/claude-code-templates

    CLI tool for configuring and monitoring Claude Code

    JavaScript

  5. open_cross_layer_transcoder open_cross_layer_transcoder Public

    Forked from etredal/openCLT

    GPT implementation on Anthropic's 2025 March 27 "Circuit Tracing: Revealing Computational Graphs in Language Models" paper 2025

    Python

  6. sparse_autoencoder sparse_autoencoder Public

    Forked from ai-safety-foundation/sparse_autoencoder

    Sparse Autoencoder for Mechanistic Interpretability

    Python