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Python & Machine Learning

I aquired my Master of Science in Computer Science title with a specialization in Machine Learning in May 2020.

In the time I worked for my degree, I gained experience with Python and tools like scikit-learn, Tensorflow and Pytorch.

I built visualization tools using Python and JavaScript's D3, sourcing from PostgreSQL databases.

Software Developer

Personal Projects

I like to learn new technologies and I'm constantly involved in trainings and hackathons. These are a few of the technologies I've tried outside my day job.

  • Hackathon: Developed an embedded application with Golang to retrieve pictures from a Raspberry Pi and send them to AWS Rekognition for facial recognition.

  • Created a blog about Serverless applications, hosted at Medium.

  • Hackathon: Developed an Angular application to visualize relationships between people stored in a Neo4J database, and displaying the data through a D3 data graph

Masters in Machine Learning

Oct 2019 to May 2022

Georgia Institute of Technology

Projects created on school assignments

    • Created models for regression and classification using Python and scikit-learn
      • Built a classification model for a medical dataset to predict whether or not a patient is at risk of a stroke.
      • Built a logistic regression model to predict business revenue based on past sales.
    • Built a couple of reinforcement agents to solve mini-games:
      • Pole-balancing problem
      • Variations of a grid world.
    • Built a convolutional neural netowrk with both Tensorflow and Pytorch to solve the following problems:
      • Image classification.
      • Style transfer.
    • Build data visualization tools with D3 and used Tableau integrating with CVS files and PostgreSQL