Hi, I'm Devon Yu.

I'm a Software Developer based in San Francisco, California.
Born and raised in the Bay Area, UCSD graduate, tinkerer and Self-Taught Programmer.

Strong interest in full-stack development focusing on well designed, clean, responsive, and scalable code. I strive on creating/implementing/testing features that improves overall user experience, learning new technologies, and optimizing services to scale. I have experience developing in an Agile environment and enjoy solving challenges that arise during the software development cycle.

When I'm not coding, I enjoy the following: Photography, Cycling, Running, Lifting, Basketball, Gaming + Board Games, Traveling, Tinkering / Modding / DIY (software/hardware/cars/you name it) and cooking. I've grown to enjoy writing about my experiences in software development and life in general on my blog.

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Technical Skills

Languages

Javascript
HTML5
CSS3
SQL
Ruby

Front End Frameworks

React
Angular
jQuery
BootStrap
Semantic UI React

Server Side Development

Node.JS
Express
REST Endpoints
MVC Frameworks

Databases

MySql
PostgresSQL
MongoDB

Deployment and Data Visualizations

Heroku
AWS
Elastic Search, Kibana, Logstash

Tools, Testing, Misc

Webpack
Git
Travis CI
Mocha
Chai

NextLens.io

Lens recommendations system for beginner and novice photographers

Curates a list of lenses evaluated from user affinity toward certain photography categories

  • Swipable images to like/dislike an image (Think Tinder)
  • Helps photographers find lenses that will deliver images of their preference
  • Integrates with FlickR API to show real images taken with specific lenses

    • Tech Stack:
    React , Node + Express, PostgreSQL, Semantic UI React, Redis, Travis CI, Deployed on Heroku, Utilizes Unsplash and Flickr API

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    Pinteresting Analytics

    SOA based application for a Pinterest clone to find optimal ratio of ads for users

    Optimized my service gateway (Ad Aggregator) with an increased load of request via Amazon SQS Message bussing, Node Clustering and Database denormalization. Visualized Data with the ELK Stack.

    Tech Stack:
    Node.JS, Express, Elastic Search, Kibana, Logstash, MySql, Amazon SQS

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    Watch Potato

    Movie and TV show scheduler targeted for Binge Watchers

    Jumped into an existing codebase and implemented a profile page for users. Integrated Twilio API to send users mobile notifications for reminders and ratings

    Tech Stack:
    React, Node.js+Express, Postgres, MongoDB, Semantic UI React, MovieDB Api and Twilio Api

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    DOWNLOAD: RESUME

    I'm currently seeking opportunities in the San Francisco Bay Area!

    Hiring? Feel free to message me here: [email protected]

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