text: // TODO Add a couple lines about each project
  const data = [
    {
      title: 'Stxtch',
      subtitle: 'Senior Full Stack Developer',
      link: 'https://verizonpurposewall.com/',
      image: '/images/projects/stxtch.png',
      date: '2022-02-2',
      desc:
        'Stxtch is an interactive story sharing application where users build meaningful connections through science-based interactive virtual methods and experiences.'
        + ' Through these experiences users develop a deeper sense of self-worth, belongingness of their existing communities, and perspective into new ones.',
    },
    {
      title: 'Dataseed',
      subtitle: 'Backend development, Built Microservices',
      link: 'http://live.site.dataseed.de/',
      image: '/images/projects/dataseed-home.jpg',
      date: '2021-07-20',
      desc:
        'Dataseed is a German company, located in Hamburg, specialized in Big Data and Data Science, technologies'
        + ' that are revolutionizing the routine of industry and service organizations,'
        + ' generating high-level insights for decision making, increased profitability and process optimization.',
    },
    {
      title: 'Toolwire',
      subtitle: 'Frontend development',
      link: 'https://toolwire.com/',
      image: '/images/projects/toolwire.jpg',
      date: '2019-10-28',
      desc:
        'Toolwire Spaces Learning is an AI-powered learning experience platform that unifies content + collaboration + experiential learning.',
    },
    {
      title: 'Space Potato',
      subtitle: 'A kickstarter funded potato powered weather balloon.',
      link: 'http://www.spacepotato.org',
      image: '/images/projects/spacepotato.jpg',
      date: '2017-06-28',
      desc:
        'Launched a potato battery powered weather balloon with two cameras '
        + 'and gps transponder. Resulting photos were published in a coffee table book. '
        + 'You can email me for a copy.',
    },
    {
      title: 'Cat Detector',
      subtitle: 'A convolutional neural network to classify cats! (and dogs)',
      image: '/images/projects/catdetector.jpg',
      date: '2016-03-15',
      desc:
        'Trained a convolutional neural network to classify between ~ 80 cats breeds. '
        + 'Over 60,000 cats were classified before server bills made the project too expensive '
        + 'to continue hosting.',
    },
  ];
  
  export default data;
  