Profile picture

Daniel Gallagher

Software Engineer
Pronouns he/him
Open Resume Email Directly

About me

Over the past decade as a barber, I've honed my interpersonal talents while working in diverse communities in New York City & Denver. Through these experiences, I've mastered the art of connecting with people and fostering a sense of community. Now, I'm eagerly embracing a new challenge by combining my people skills with my growing technical expertise. In a rapidly evolving industry like tech, effective communication is paramount. I'm confident that my passion for forging connections and my willingness to embrace the unfamiliar will be valuable assets to your team.

Preferred locations

  • Denver, CO
Open to remote work

Previous industries

None specified

Skills

  • ActiveRecord
  • Git
  • GitHub
  • GitHub Projects
  • Google
  • HTML5
  • PostgreSQL
  • Postico
  • Postman
  • Rails
  • Render
  • RSpec
  • Ruby
  • SQL
  • Visual Studio

Currently learning

  • Python

Projects

Label Lens

Label Lens

Project scope time 40 hours
Collaborators Profile picture for Andi Lovetto Profile picture for Chris Asercion Profile picture for Davis Weimer Profile picture for Wil Fady

Tools Used

  • Bootstrap
  • CSS3
  • Git
  • GitHub
  • GitHub Projects
  • HTML5
  • JavaScript
  • PostgreSQL
  • Rails
  • RSpec
  • Ruby
  • User Authentication
  • Visual Studio

Label Lens provides users with a unique listening experience and solution to the paradox of choice.

Reducing the noise from too many options with apps like Spotify or YouTube -- Label Lens helps listeners discover albums and artists signed to the same record label as the initially searched album.

Record labels often sign very different artists, so our team took the route of exploring labels over similar sounds. This often leads to finding that "deep cut" that introduces you to your next favorite artist!

Time to tune out the chatter and tune in to your next favorite album with Label Lens.

Launch the App Code Repository
Screenshot detail for project Label Lens
Screenshot thumbnail #1 for project Label Lens Screenshot thumbnail #2 for project Label Lens Screenshot thumbnail #3 for project Label Lens

Sweater Weather

Sweater Weather

Project scope time 25 hours
Collaborators

Tools Used

  • GitHub
  • Google
  • PostgreSQL
  • Postman
  • Rails
  • RSpec
  • Ruby
  • Visual Studio

Sweater Weather, a robust backend solution engineered to serve diverse API endpoints, delivering you a wealth of real-time data in one unified experience. Here's what sets Sweater Weather apart:

🌦️ Dynamic Weather Forecasting: I leveraged WeatherAPI.com to obtain real-time weather conditions, as well as comprehensive daily and hourly forecasts for any location.

πŸ—ΊοΈ Efficient Route Planning: Utilizing the Mapquest API, I enabled the functionality for users to navigate from point A to B with precise directions and expected travel time.

πŸ“š Cultural Insights: For those eager to learn about their next trip, I used the Open Library API to allow the end user to discover books that have been written about your destination, enriching your journey with literary context.

πŸ•’ Time-Accurate Destination Weather: When planning a trip, receive destination-specific weather forecasts that are synchronized with your estimated time of arrival.

πŸ”— Third-Party API Integration: By harmoniously integrating various third-party APIs, Sweater Weather guarantees seamless user experiences and delivers data that you can trust.

Code Repository
Screenshot detail for project Sweater Weather
Screenshot thumbnail #1 for project Sweater Weather Screenshot thumbnail #2 for project Sweater Weather Screenshot thumbnail #3 for project Sweater Weather Screenshot thumbnail #4 for project Sweater Weather