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AdrianRamos956/README.md

Hi, I'm Adrian Ramos

I'm a Master's student in Computer Science at UTRGV (University of Texas Rio Grande Valley), expected to graduate December 2027. My project work leans toward applied machine learning — training models on real data, and building the pipelines around them.

What I work with

  • Languages: Python
  • ML / Deep Learning: TensorFlow, Keras, scikit-learn
  • Data: pandas, NumPy, Jupyter
  • Computer vision: OpenCV
  • Other: discrete-event simulation, queueing theory

Let's connect

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  1. LLM-V1 LLM-V1 Public

    A GPT-style language model built from scratch in PyTorch, trained character-by-character on The Wizard of Oz

    Jupyter Notebook

  2. Face-Emotion-Recognition-from-Images Face-Emotion-Recognition-from-Images Public

    Computer vision pipeline that detects faces and classifies emotion from images

    Jupyter Notebook

  3. GymRetroNEAT GymRetroNEAT Public

    Training game-playing agents with NeuroEvolution (NEAT) in OpenAI Gym Retro

    Python

  4. Natural-Gas-Prices-Prediction Natural-Gas-Prices-Prediction Public

    Deep learning model (TensorFlow/Keras) for forecasting natural gas prices

    Jupyter Notebook

  5. Music-Generation-AI Music-Generation-AI Public

    Dilated CNN trained on classical MIDI (Beethoven, Schubert) to generate new music

    Python

  6. Simulation-Theory Simulation-Theory Public

    Discrete-event simulation of a multi-lane checkout system for studying queueing behavior

    Python