Aaron Oliver Rojas Salazar

ac13b9@r.postjobfree.com, 714-***-****

Web: aaronors.github.io

GitHub: github.com/aaronors

Education

University of California, Davis Bachelor of Science / Computer Science 2011 – 2017

Bachelor of Science / Environmental Science and Management,

Geospatial Information Science Emphasis

Experience

LeapDroid, Inc. Technical Writer Jun. 2016 – Nov. 2016

Maintained a blog dedicated to Android emulation, gaming, and related news

Created video content, tested product builds, and engaged with the Android/gaming community

Link to my blog: https://androidonline.wordpress.com/

UC Davis Soil Hydrology Lab Assistant Dec. 2012 – Aug. 2015

Created MATLAB programs to analyze properties of soil samples taken from remote hydrologic sensors

Generated figures depicting the relationship between soil depth, texture, and the movement and concentration of water and nitrate to inform local farmers and suggest better water management practices

Assisted in the development of statistical models to predict hydrologic properties of a soil profile based on water and nitrate samples

Projects

Sell.me June 2017 - Present

A buy/sell Android application that implements a scrollable view. Users can take pictures with the camera to post advertisements on the app, filter goods shown by category, and click on views to show information.

Uses SQLite for database functionality and the Glide library for image loading.

Twitter Weather Bot (@woppybot) May 2017

Developed a Twitter bot in Java that tweets the current weather for a random 5-digit postal code every 3 hours

Uses the Google Maps API to process the postal code, the Dark Sky API to return the weather forecast, and the Twitter REST API to manage the bot’s actions

Deployed with Heroku.

Chrome Diagnostics Jan. 2016 –Jun. 2016

Designed an Android application with a team to decode messages from the Google Chromebook’s blinking LED and display boot sequence messages in real-time

Used the Opencv4Android image processing library to employ a series of image manipulations on a live video feed to create a robust LED detector

Presented at the UC Davis Engineering Design Showcase 2016

Sponsored by Sheng-Liang Song, a Senior Software Engineer at Google

Davis Housing Application Jan. 2014 – Mar. 2014

Developed a Python desktop application to determine suitable apartment housing options for a user based on selected preferences including proximity to campus, recreational parks, and shopping centers

Implemented a weighted overlay approach, incorporated raster data outputs from reclassification, and Euclidean distance calculations to generate a map displaying desirable housing options

ArcPy site package used for geographic and spatial data analysis, WxPython used for interface design

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