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gabe-mousa/README.md

Hey, I'm Gabe

Software Engineer @ DoorDash | AI Safety Researcher | Sailor

I like distributed systems, dev tooling, and AI safety. I've also built a really cool tool that I'm very proud of called Pancake, which is a parallel agent manager, which you can find if you click here. Model Evals are also super interesting and I'm open to discussing new opportunities if you want to reach out! Currently fascinated by interpretability and model evaluations.

LinkedIn Email

For most up-to-date info, check out my website!

https://gabe-mousa.github.io/gabemousa-website/


What I'm Working On

Pancake

Parallel Agent Manager

A fun local node package which allows managing multiple Claude Code or Claude chat sessions. It allows grouping sessions, sending messages across multiple sessions simultaneously, or most interestingly, sessions are allowed to communicate with one-another. This means sending messages back and forth and reading chat sessions of other agents. This creates unique scenarios having sessions spawn sub-agents and being able to live-interact with those sub-agents.

Pancake

Apolien

AI Safety Evaluation Library for Python

Building tools to evaluate frontier models for:

  • CoT Faithfulness — Are models actually reasoning the way they claim?
  • Sycophancy Detection — Catching specification gaming & reward hacking
  • Deception Testing — Are the models lying?

Inspired by research from Anthropic's alignment team.

Apolien

@ DoorDash

New Bets

  • Building production systems for consumer marketing campaigns.
  • Working on a team to identify new areas for products at DoorDash and developing them at extremely rapid paces.

Tech Stack

gabriel = {
    "languages": ["Python", "C#/.NET", "Golang", "C++", "Java"],
    "ml_ai": ["TensorFlow", "Scikit-learn", "XGBoost", "Semantic Kernel", "FastMCP"],
    "infrastructure": ["Kubernetes", "Docker", "Azure", "GCP", "AWS"],
    "research_interests": [
        "Mechanistic Interpretability",
        "Pragmatic Interpretability",
        "AI Alignment Research",
        "Chain-of-Thought Faithfulness", 
        "Sycophancy & Reward Hacking"
    ]
}


Currently Reading

Papers and research that have my attention:

Always looking for paper recommendations in interpretability & alignment!


Let's Connect

I'm always open to:

  • Chatting about AI safety, interpretability, or alignment research
  • Collaborating on open-source AI safety tooling
  • Discussing new opportunties if you want to reach out

Reach out: LinkedIn or gab.01@hotmail.com


AI Safety is cool, I'd love to talk if you want to reach out

Pinned Loading

  1. offline-type-speed offline-type-speed Public

    An offline typing speed test

    Python 6 2

  2. Apolien Apolien Public

    AI Safety Evaluation Library

    Python 5 1