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Luke Salamone

Machine Learning Engineer

Luke Salamone

Machine Learning Engineer

My Resume

About me

Hi, I'm Luke. I'm a graduate student at Northwestern University, where I study Artificial Intelligence. I have a bachelor's degree in Computer Science with a minor in Physics from the University of Wisconsin-Madison.

Previously, I worked for three years as a full-stack software engineer for Capital One Bank.

In my free time, I enjoy biking, playing table tennis, and listening to music.

Here are some of the technologies I've been using recently:

  • Python
  • PyTorch
  • Parallel computing
  • Computer Vision
  • NLP
  • AWS

Hi, I'm Luke. I'm a graduate student at Northwestern University, where I study Artificial Intelligence. I have a bachelor's degree in Computer Science with a minor in Physics from the University of Wisconsin-Madison.

Previously, I worked for three years as a full-stack software engineer for Capital One Bank.

In my free time, I enjoy biking, playing table tennis, and listening to music.

Projects

Handwritten Digit Classification

I used a convolutional neural network architecture to classify handwritten digits into one of 10 classes.

  • pytorch
  • python
  • CNNs
  • computer vision

Gomoku 2049

A simple demonstration of the minimax algorithm as applied to the game gomoku.

  • artificial intelligence
  • javascript

CPD Use of Force

Year-by-year interactive calendar of incidences of reported use of force by the Chicago Police Department. Each day is color-coded to reflect the number of reports on that day.

  • visualization
  • statistics
  • javascript

Gaussian Mixture Model

I used a Gaussian Mixture Model to cluster the MNIST handwritten digits dataset, and even generate new, never-before-seen digits!

  • machine learning
  • python

CPD Salary Histogram

I use an interactive histogram in an attempt to understand the relationship between salary and accusations of misconduct within the Chicago Police Department.

  • statistics
  • python
  • visualization

Hangman Analysis

Statistical analysis of the game hangman in an attempt to understand word difficulties.

  • statistics
  • python

Handwritten Digit Classifier

I used a convolutional neural network architecture to classify handwritten digits into one of 10 classes.

Gaussian Mixture Model

I used a Gaussian Mixture Model to cluster the MNIST handwritten digits dataset, and even generate new, never-before-seen digits!

Gomoku 2049

A simple demonstration of the minimax algorithm as applied to the game gomoku.

See more on my blog

Contact Me

lukesalamone94@gmail.com My Resume

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