Teran Long

Software engineer - machine learning & ai

Objective

TLDR I have been interested in low or zero input aquatic farming for the last 5 years. I was first introduced to the concept via a youtube video by Bren Smith on seaweed and oyster farming (see greenwave.org). Seaweed and oysters have many benefits including decarbonizing our atmosphere via the ocean, removing nitrogen from the water column, providing a home for fish, cleaning heavy metals and other contaminants from the water supply and/or serving as a highly efficient source of protein. However, as a software engineer, the aspect that most captured my imagination is raw unfiltered _scalability_. The inputs -- seawater and sunlight are free, and startup costs are practical. This same excitement extends to other low-input systems like duckweed cultivation and other forms of aquatic farming, which share these elegant principles of efficient, sustainable production in a scalable medium -- our ocean. I'm passionate about applying my technical background to advance scalable solutions in aquaculture and would love to connect with others working to build regenerative food systems that can make a real impact at scale.


Skills

  • Software engineering
  • Machine Learning
  • AI
  • See resume

Work Experience

April 2020 - January 2024

Software engineer - Machine learning
Microsoft
Seattle
see resume

Education

September 2017 - March 2020

University of Washington - Computer Science
See resume

Publications

 

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