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giorgiopiatti/README.md

Hey There


About Me:

I'm Swiss, 24 years old, highly driven and technically proficient machine learning engineer!

Currently, I work as a student research assistant, and I expect to complete my Computer Science Master's degree in 2024. My hands-on experience spans six ETH projects and three research projects, resulting in academic papers (one workshop, two under review). I am passionate about continuously learning new technologies and eager to contribute to cutting-edge research and development in a dynamic engineering environment.

Present:

I’m working as Student Research Assistent with Zhijing Jin and Mrinmaya Sachan at ETH Zürich.

Future:

I am looking for a full time position starting January 2025.

If you're looking for someone that

  • has broad machine learning expertise
  • is able organize and manage large experiments
  • loves to code from 0 to 100 an ML solution then I might be your guy.

Some projects I've worked on recently:

I worked on Multilingual Trolley Problems for Language Models (Paper Under review)

During my Master Thesis I worked on Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents, which resulted in a paper under review. I've created a multi-agent simulation plattform for Large Language Model, Governance of the Commons Simulation to test if LLMs achieve sustainable equilibrium and investigate multi-agent collaboration.

SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems (Paper accepted at ECAI 2024): A framework for synthetic environments that simulate human behavior by harnessing the capabilities of large language models (LLMs). We complement our framework with in-depth ablation studies and demonstrate its effectiveness with experiments on movie and book recommendations. By utilizing LLMs as synthetic users, we introduce a modular and novel framework for training RL-based recommender systems.

Learning to Bluff and Cooperate: RL in Briscola We construced a multi-agent Briscola (italian card game) environment and trained RNN-based agents using reinforcement learning.

Before saying goodbye

You can find more projects I've worked on and my full cv in my personal website.

If you want to connect with me, feel free to send me a DM on Linkedin!

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  1. GovSim GovSim Public

    Governance of the Commons Simulation (GovSim)

    Python 19 4

  2. PathFinder PathFinder Public

    PathFinder is a simple prompting library with support for parsing and regex.

    Python

  3. SUBER-Team/SUBER SUBER-Team/SUBER Public

    This repository accompanies our research paper titled "An LLM-based Recommender System Environment".

    Python 5

  4. TiCinesi/Dilated-Convolution-for-GCN TiCinesi/Dilated-Convolution-for-GCN Public

    Deep Learning - project (ETH Zürich)

    Python 1

  5. TiCinesi/Collaborative-models-for-Collaborative-Filtering TiCinesi/Collaborative-models-for-Collaborative-Filtering Public

    Computational Intelligence Lab - project (ETH Zürich)

    Python

  6. TiCinesi/Learning-to-Bluff-and-Cooperate TiCinesi/Learning-to-Bluff-and-Cooperate Public

    Foundations of Reinforcement Learning - project (ETH Zürich)

    Jupyter Notebook