Experience
Software Engineer: We Heart It - San Francisco, CA (June 2014 - Present)
Image-based social network with over 7 million active monthly users and 2 million active daily users based on a Ruby on Rails, Sidekiq, MySQL, Redis, and Cassandra stack.
- Work with a small team of 6 backend engineers to implement new features and squash bugs
- Merge and deploy code to our production environment that is seen by approximately 2 million active daily users
- Create web hooks for 3rd party APIs (such as Crowdflower and WiseIO) to communicate with our app
- Work closely with the mobile teams on extending and creating new endpoints for our API
- Update the API documentation using Jekyll
- Fix minor frontend/javascript web bugs
- Implemented multiple internal tools used by the company that assist in:
- moderating spam
- activations and data pulls for marketing initiatives
- ip blocking
- Secondary on-call for dev ops for the entire site:
- Restart services, such as Redis and Sidekiq
- Reboot servers when there are outages
- Handle database failovers
Product Support Specialist, Tier 3: Cobalt – Arlington, VA (May 2012 – February 2014)
- Provided Tier 3 support for a heavily customized Microsoft Dynamics CRM product for Cobalt’s largest customer utilizing the Zendesk ticketing system
- Utilized SQL to migrate customer’s data from their legacy system to the MSSQL database required for the product
- Led agile stand-up meetings and worked closely with developers on escalated tickets
- Ran command line tools and performance monitoring on production servers
- Rebuilt and rewrote the user manual for Cobalt’s largest customer
- Tested new features for the product’s quarterly releases
Education
Software Engineering Fellow: Hackbright Academy – San Francisco, CA (February 2014 – May 2014)
- 10-Week Accelerated Software Engineering Program focused on Python and Flask
- Developed a webapp utilizing the k-means clustering algorithm by scraping and parsing data from a crowdsourced website to determine optimal locations for new Bay Area Bike Share stations. The webapp can also take into account criteria such as elevation and proximity to grocery stores, transit lines, and other points of interest. Python
- Code and full project details: https://github.com/aluhrs/Optimal_Bike_Share_Locations -- App: Optimal Bike Share
- Created a Twitter bot that generates Valentine’s Day tweets based on popular Valentine’s sayings by building a Markov chain generator during a pair-programming project. Python -- CandyHeartBot
James Madison University, Harrisonburg, VA.
- Graduated Cum Laude in May 2010 with a Bachelor of Science Degree in Integrated Science & Technology with a major in Psychology. Graduated with Honors. G.P.A. – 3.60.