• I'm currently developing Python-based applications at the USGS, focusing on leveraging machine learning models to analyze satellite imagery.
• I am the lead developer of CoastSeg, a Python application that that utilizes machine learning to accurately extract shorelines from satellite imagery.
• I 💚 python
• I've got a passion for learning, building cool projects, and open source software

• Lately, I've been research pixi and Docker to make research software environments more reprodible
• I've also been researching cloud provider hosting solutions like AWS to host applications & websites I've built

• ImprovingCoastSeg
• Creating repoducible environments for scienctific software
• Improving and building out software for Satellite Derived Shorelines (SDS) workflows

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1. SatelliteShorelines/CoastSegSatelliteShorelines/CoastSegPublic

   An interactive toolbox for downloading satellite imagery, applying image segmentation models, mapping shoreline positions and more. The mapping extension for CoastSat and Zoo.

   Jupyter Notebook 59 11

2. SnifferSnifferPublic

   Lightweight Python application for sorting images in your dataset

   Jupyter Notebook 21 4

3. Final-Iteration/DigitalDavisFinal-Iteration/DigitalDavisPublic

   iphone app for UC Davis Health as part of Sac State 2021 Senior Project. Created with React Native, Nodejs, MongoDB, Docker, and JWT authenication.

   HTML 3 2

4. VMM-simulatorVMM-simulatorPublic

   A C++ project meant to simulate Virtual Memory management. It simulates page swapping, the working set, and all the operations that go into created and managing virtual memory in a computer.

   2 1

5. CPU_SchedulerCPU_SchedulerPublic

   A short program written in java that simulates three different styles of CPU scheduling. It imitates First Come First Serve(FCFS), High Priority First(HPF), and Round Robin Scheduling. Input is rea…

   Java 2 1