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agusuy/README.md

Hello there 👋

My name is Agustín Castillo, and I'm a Computer Scientist and Software Engineer with a focus on Artificial Intelligence, Data Analytics, Machine Learning, Deep Learning, High Performance Computing, and Python backend development. I have over 10 years of experience in building commercial software, conducting research, and teaching AI.

I enjoy working on cross-disciplinary teams and collaborating to solve complex problems, and I feel engaged when working on innovative solutions. I have a curious mind, and I'm always looking for new things to learn and challenge myself.

My Education 🎓

Master of Science (M.Sc.) in Computer Science & Software Engineering

University of Washington. 2024

  • Coursework: Data Mining for Machine Learning, Machine Learning, Deep Learning, Parallel Programming in Grid and Cloud, High Performance Computing, Software Architecture, Scientific Writing.

Bachelor of Science (B.S.) in Computer Engineering

Catholic University of Uruguay. 2012

  • Coursework: Data Structures and Algorithms, Object-Oriented Programming, Software Engineering, Testing, Computer Architecture, Operating Systems, Computer Networks, Databases, Computer Graphics, Distributed Systems, System Simulations, Theory of Computation, Compilers, Artificial Intelligence, Numerical Analysis, User Interfaces and Usability, Project Management.

Skills and Technologies

  • Programming Languages: Python, C, C++
  • Frameworks & Libraries: Django, Flask, CUDA, OpenGL, TensorFlow, PyTorch, scikit-learn, MATLAB
  • Tools: Jupyter Notebook, PyCharm, VS Code, Visual Studio, Git

My Experience 👨🏻‍💻

Research Assistant. University of Washington. September 2024 - Present

CS Teaching Assistant. University of Washington. September 2023 - June 2024

Adjunct Professor. Catholic University of Uruguay. March 2013 - July 2022

Lead Developer. Innuy. December 2015 - December 2019

Full Stack Software Developer. Innuy. January 2013 - December 2015


📫 Contact me: LinkedIn

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  1. deep_cfd deep_cfd Public

    Deep Learning Model for predicting the spatiotemporal evolution of a turbulent fluid flow in a Computational Fluid Dynamics simulation. The model is based on the ConvLSTM architecture and Reduce Or…

    Python 1

  2. ecg_arrhythmia_detection ecg_arrhythmia_detection Public

    Evaluation of Deep Learning models for detecting irregular heartbeat rhythms (arrhythmias) on electrocardiogram (ECG) measurements.

    Python

  3. adversarial_search adversarial_search Public

    A Python framework for implementing AI agents that use adversarial strategies in two-player, zero-sum games.

    Python 2 2

  4. pathfinding pathfinding Public

    A Python-based visualizer for grid-based informed and uninformed search algorithms.

    Python

  5. cuda_image_upscaling cuda_image_upscaling Public

    Forked from cskampas/CSS535_Project_Upscale

    CUDA implementation of image upscaling algorithms in parallel.

    Cuda