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  • Facultad de Ciencias Exactas, Ingenieria y Agrimensura - Universidad Nacional de Rosario
  • Rosario, Santa Fe, Argentina
  • 22:37 (UTC -03:00)
  • LinkedIn in/maximoalva

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maximoalva/README.md

Máximo Alva

Data Scientist | ML Engineer | Professor

Rosario, Santa Fe, Argentina


Email     LinkedIn     GitHub


Estadísticas de GitHub

Racha de commits

Lenguajes más usados

Lenguajes y herramientas

Python    Jupyter    Pandas    Scikit-Learn    OpenCV    TensorFlow    LangChain    Ollama    SQLite    MySQL    Docker    FastAPI    Cisco    GitHub    R    GNUBash    HTML5    Markdown

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  1. nlp-multidb-rag nlp-multidb-rag Public

    Advanced RAG system with natural language routing across Vector (Milvus), Relational (SQLite), and Graph (GrafitoDB) databases, built with Python and Ollama.

    Jupyter Notebook

  2. rain-prediction-weather-aus rain-prediction-weather-aus Public

    Binary classification machine learning model to predict next-day rain in Australia using the Weather AUS dataset.

    Jupyter Notebook

  3. fastapi-movies-api fastapi-movies-api Public

    RESTful API and CLI client built with FastAPI to manage a Wikipedia movies dataset. Includes custom rate-limiting middleware, HTTP Basic Auth, and local JSON persistence.

    Python

  4. pathfinding-graph-search-algorithms pathfinding-graph-search-algorithms Public

    Pathfinding visualizer in Python and Pygame implementing graph-search algorithms: BFS, DFS, UCS, Greedy BFS, and A*.

    Python

  5. audio-mnist audio-mnist Public

    Deep learning project for spoken digit classification using CNN and RNN/LSTM models on audio spectrograms. Developed for Aprendizaje Automático II (UNR).

    Jupyter Notebook

  6. flappy-bird-reinforcement-learning-agents flappy-bird-reinforcement-learning-agents Public

    Reinforcement Learning project where Q-Learning and Neural Network agents learn to play Flappy Bird using PLE. Developed for Aprendizaje Automático II at UNR.

    Python