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💬
The mechanical memories
💬
The mechanical memories

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@IteraLabs @IteraCapital
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IFFranciscoME/README.md

👋 Hola, This is Me

I currently hold a position as an Associate Professor in the Mathematics and Physics Department at ITESO, where I am lecturer and researcher on topics related to Machine Learning. Also I've started a nonprofit organization for Opensource projects in the Generative A.I. space, called iteralabs.ai. Have a background on B.Eng in Financial Engineering and M.Sc in Data Science, my work and research interests are mainly DeFi, Financial Machine Learning, Scientific Computing and later these days, LLMOps.

💬 Current University Activity

  • Graduate Thesis Advisor : Generative AI, Financial Machine Learning and Decentralized Finance
  • Head of Research Lab : Decentralized Machine Learning Lab

python Python and python Rust projects

Name Description Official
atelier A computing workshop optimized for Large Language Models crates.io
lucien A Lucid Agent for tracing activity from Large Language Models pypi.org
traderman Python SDK to build, train, stress-test, deploy and monitor trading strategies pypi.org

⚡ Notes and ideas

  • Learning Rust for scientific computing with Financial High Frequency Time Series.
  • How to reach me: LinkedIn | correo-e
  • Fun fact: I'm still processing a couple of pages I read from Gödel, Escher, Bach: an Eternal Golden Braid. Hofstadter.

💻 Other sites

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  1. IteraLabs/traderman IteraLabs/traderman Public

    Python SDK to build, train, stress-test, deploy and monitor trading strategies

    Python 2

  2. STSC-Temporal-Patterns STSC-Temporal-Patterns Public

    Subsequential Time Series Clustering: Evidence of Temporal Patterns in UsdMxn Exchange Rate.

    Python 1 1

  3. Genetic-Finance Genetic-Finance Public

    Implementations of Genetic Methods for Financial Machine Learning Applications

    HTML 10 2

  4. Msc-DataScience-Thesis Msc-DataScience-Thesis Public

    Genetic Programming and Neural Networks for Financial Predictive Modeling.

    Python 1

  5. EcoSta2021 EcoSta2021 Public

    Abstract, Codes and LaTeX-KnitR files for the research poster presented in the EcoSta2021 International Congress

    TeX