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and-per-i/README.md

Hi there, I'm Andrea 👋

🎓 Computer Science Student @ Sapienza University of Rome

I bridge the gap between Modern AI and Theoretical Computer Science, combining the practical power of Deep Learning with the rigor of Formal Methods.

🔭 Current Focus

NeuroMetric: Researching kinetic analysis of neurological symptoms.

  • Goal: Migrating the architecture from LSTM to Transformers (Self-Attention) to optimize temporal modeling on biomedical data.

🧠 Core Interests

  • Artificial Intelligence: Computer Vision, Deep Learning, Information Theory.
  • Theoretical Foundations: Type Systems, Complexity Theory, Inductive Algebras & Data Structures.

📫 Contact

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  1. NeuroMetric NeuroMetric Public

    Deep Learning framework for kinetic analysis of neurological symptoms using LSTM

    Python

  2. WasaText-Go-Chat WasaText-Go-Chat Public

    RESTful chat application utilizing Go (Golang) for the backend and Vue.js for the frontend. Includes OpenAPI documentation, Docker support, and SQLite persistence.

    Go

  3. Haskell-like-Lazy-Interpreter-in-Standard-ML Haskell-like-Lazy-Interpreter-in-Standard-ML Public

    Functional interpreter implementation supporting lazy evaluation, memoization, and mutual recursion.

    Standard ML