Software Engineering
About Gabriel Salmon
Gabriel Salmon is a software engineer in Seattle specializing in data engineering and automation. He builds efficient systems that transform complex data into useful tools. His experience includes designing an intelligence data pipeline at NAVSEA and creating automation tools for vaccine testing at PPD. As a freelancer, Gabriel develops custom websites and web scraping solutions for clients.
Projects
Image Analysis Repository
This repository contains an image processing library based around detecting cancerous cells in smears using Python and OpenCV. It includes scripts for image preprocessing, contour detection, and bounding box generation. It also includes a couple machine learning methods to predict which of the eight types of cancer present in the dataset is present in each image.
Traveling Salesman, Parallelized
The Traveling Salesman Problem (TSP) is a classic optimization problem. This variation involves a salesman's risk of infection along the route, and the program solves for the least risky path, which follows the standard formulation of weights on an undirected graph. This repository contains a parallelized solution using MPI (Message Passing Interface).
Image source: https://optimization.cbe.cornell.edu/index.php?title=File:48StatesTSP.png