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Ken Lenhart

Back End Engineer
Pronouns He/Him
Open Resume Email Directly

About me

Creative engineer with more than ten years experience nurturing and motivating large diverse teams to achieve measurable success. Passionate about combining an understanding of new technologies and workflows with strong and effective communication skills to empower delivery of outstanding results for the customer or client.

Preferred locations

  • Seattle, WA
Open to other locations and/or remote work

Previous industries

  • Retail
  • Supermarkets

Skills

  • Continuous Integration
  • CSS3
  • Git
  • GitHub
  • GitHub Projects
  • GraphQL
  • HTML5
  • Miro
  • PostgreSQL
  • Rails
  • RSpec
  • Ruby
  • SQL
  • User Authentication

Currently learning

  • C#
  • .NET
  • Python

Projects

En Root (Codename Demeter)

En Root (Codename Demeter)

Project scope time 60 hours
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Tools Used

  • Bootstrap
  • Continuous Integration
  • GitHub
  • Heroku
  • PostgreSQL
  • Rails
  • RSpec
  • Ruby

En Root is a garden management app that allows users to find native plants for their location, research them, and organize them into garden plots. When a user adds plants to their virtual garden they can see useful information about their garden plots like optimal soil PH levels, shade tolerance, and plant toxicity. They can also see useful information about their garden like a seven day weather forecast.

The app uses plant data scraped from the USDA Plant Database, weather data from the OpenWeatherMap API, and USDA plant hardiness zone data provided by a public API from the Oregon State PRISM Climate Group. The data is aggregated on our back-end rails app and served up through an API to this Front-End Rails app. Additional Information about the backend service can be found on the backend GitHub repository linked above.

Code Repository
Screenshot detail for project En Root (Codename Demeter)
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Squeakr

Squeakr

Project scope time 25 hours
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Tools Used

  • GitHub
  • GraphQL
  • PostgreSQL
  • Rails
  • Ruby

A rails backend for Squeakr - a microblogging app that uses machine learning APIs to moderate hate speech. Implements GraphQL to create lightweight, dynamic queries/mutations for Frontend consumption through a single endpoint.

Launch the App Code Repository
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Lunch and Learn

Lunch and Learn

Project scope time 20 hours
Collaborators

Tools Used

  • GitHub
  • PostgreSQL
  • Rails
  • Ruby

Non-RESTful Backend API designed to expose desired country recipe and learning media info endpoints with serialized JSON responses. Utilized error handling with serializers, fully tested API exposure, and user registration, login, and authentication. Consumes the following APIs: Edaman, Geoapify, Youtube, Unsplash, and Rest Countries

Code Repository
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