John Nelson
About Me
Worked as the lead software engineer at bffa.org creating intuitive user interfaces- 🎓 Trained professionally in software development Alchemy Code Lab in 2019
- ⛑ Former Firefighter, EMT-Paramedic, and Emergency Room Technician
- 🐕🦺 Training a rescued husky malamute mix named Zuko for therapy
- 🥾 Can be found hiking the trails around Portland with dogs
- ⛷ Active with snow sports, especially skijoring
- 🧠 Nerd for sci-fi, fantasy, and comic books
- ⛵️ Enjoy building Lego's and models
- 🪴 Caretaker of many houseplants
- 🌱 Currently learning NextJS
Projects
🤗 empathetech.org
A hug-o-tron community. Beep beep boop boop.
Personal contributions:
- 🤖 Created navigation bar, footer, and code of conduct components for the website
- 👨🏻🏫 Biweekly Office Hours: Led demonstrations on using D3.js with React
Collaborated using GitHub for issues, code reviews, and pull requests- 🔧 Technical expert with Black Business Association of Oregon
🧰 Next.JS, React, TypeScript, JavaScript, HTML, and CSS.
Better Future For All
(BFFA.org)Using art to promote measuring and improving a society's ability to meet people's basic needs, empower communities, and unlock individual potential.I created intuitive tools for exploring the SPI framework from the Social Progress Imperative
BFFA Map and Tooltip
View scores from around the world at a glance
Measuring 169 countries 3 dimensions 4 components 60 indicators in total
🧰 Tools: React, D3.js, JavaScript, HTML, and CSS
🌸 Inspired by Shirley Wu's Film Flowers
🎨 Iconography by Wakey Nelson
BFFA Stamp Book
Explore each component's definition and sources
🧰 Tools: React.js, JavaScript, HTML, and CSS
🗜 Testing: Jest
🎨 Artwork by Jannah Minnix
📓 Physical stamp book available at bffa.org
🔭 Image of the Day from NASA's API
What's not to love about staring at the stars and ultra hd images of them?
Here I am making an API call to NASA, lazily because they love large image sizes.
The Dusty Surroundings of Orion and the Pleiades
How well do you know the night sky? OK, but how well can you identify famous sky objects in a very deep image? Either way, here is a test: see if you can find some well-known night-sky icons in a deep image filled with filaments of normally faint dust and gas. This image contains the Pleiades star cluster, Barnard's Loop, Orion Nebula, Aldebaran, Betelgeuse, Witch Head Nebula, Eridanus Loop, and the California Nebula. To find their real locations, here is an annotated image version. The reason this task might be difficult is similar to the reason it is initially hard to identify familiar constellations in a very dark sky: the tapestry of our night sky has an extremely deep hidden complexity. The featured composite reveals some of this complexity in a 16 hours of sky exposure in dark skies over Granada, Spain. Tonight: Total Lunar Eclipse
🔩 API call made to
https://api.nasa.gov/index.html
using
Tanstack / react-query
Want to know more? Let's connect!
