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DiegoVa6/README.md

👋 Hi, I'm Diego Valladares

I am Final-year Dual Bachelor student in Computer Science + Business Administration and a current trainee at 42 Madrid – Fundación Telefónica.

🚀 About me

I am currently combining my studies at Universidad Carlos III de Madrid and 42 Madrid, building a profile that mixes software engineering, problem solving and business perspective.

My main interests include:

  • Python development and high-level problem solving
  • Algorithms, heuristics, and optimization
  • Machine learning and language technologies
  • Backend development and systems fundamentals
  • Low-level programming in C

Alongside my university studies, 42 Madrid has helped me strengthen my programming foundations through project-based learning, especially in C, algorithms and system-level thinking.

📚 Highlighted Projects

Here are some of the projects I’ve developed so far at 42:

  • push_swap — stack-based sorting project in C focused on algorithms, parsing, and operation optimization
  • A-Maze-ing — Python maze generator and visualizer with pathfinding, config parsing, and reusable package design
  • 42-python-modules — curated collection of Python modules covering OOP, exceptions, data structures, imports, Pydantic, and functional programming
  • libft — recreation of core C library functions
  • ft_printf — custom implementation of printf
  • get_next_line — line-by-line file reading in C

📈 Activity

Diego's github activity graph

📊 GitHub Stats

🛠 Tech Stack

📫 Contact

If you'd like to reach out:

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  1. nachom9/pacman nachom9/pacman Public

    Python

  2. push_swap push_swap Public

    42 push_swap project in C, focused on stack-based sorting, algorithm design, input parsing and operation optimization.

    C 1

  3. Call-me-Maybe-public Call-me-Maybe-public Public

    Constrained function calling with Qwen3-0.6B

    Python

  4. fly-in-drone-routing fly-in-drone-routing Public

    A Python drone routing simulator that parses zone maps, finds efficient paths, schedules multiple drones, and minimizes simulation turns under capacity constraints.

    Python

  5. Grupo05_Practica1 Grupo05_Practica1 Public

    Práctica de Aprendizaje Automático para predecir la suscripción de depósitos bancarios con scikit-learn y Streamlit.

    Jupyter Notebook

  6. Procesador_del_Lenguaje Procesador_del_Lenguaje Public

    Analizador léxico, sintáctico y semántico para el lenguaje Lava usando Python y PLY.

    Python