Stile Education | Melbourne, Australia | Full-time | Onsite (flexible WFH) | Senior Mobile Engineer (Flutter) | Head of Platform Engineering
We're a small, diverse, tight-knit team with a mission to radically improve main-stream science education at schools. By creating world-class science lessons, coupled with intuitive tools that allow teachers to take advantage of the latest pedagogies, we’ve already helped several hundred thousand students in Australia get excited about science.
Stile is already used in 1 out of 3 Australian schools, and over the next few years, we're striving to perfect our product and bring our lessons to the rest of the world. This is an opportunity to have a big influcence on education from within a small, high impact team.
SEEKING WORK | Melbourne, Australia | Remote Preferred
- CV: https://fredwu.me/cv.pdf
- Email: ifredwu at gmail dot com
My name’s Fred Wu, I’m an experienced Elixir and Ruby developer who has worked on multiple commercial projects as well as having released multiple open source Hex packages and Rubygems.
I work at a fintech startup as CTO, leading a small team. During Covid I've been pumping out around 40 extra hours per week on freelancing work. My day job involves mostly the non-coding part of problem solving so it's a nice mix of pace for me to keep my coding skills sharp during the evenings and on weekends.
I’ve been using Elixir for half a decade, ruby for over a decade, lead and built multiple commercial B2B & B2C SaaS projects. I’ve always been very hands on, and have worked with multiple tech stacks in the past, including JS/React, PHP, Golang, and most recently Clojure at the startup I’m currently working at.
- My blog and talks: https://fredwu.me/
- My Github profile: https://github.com/fredwu
- My LinkedIn profile: https://www.linkedin.com/in/wufred/
As you probably noticed I have quite a few projects on Github. Some of the more interesting ones are:
- Crawler, a high performance web crawler built in Elixir: https://github.com/fredwu/crawler
- Simple Bayes, a naive bayes machine learning implementation in Elixir: https://github.com/fredwu/simple_bayes
- OPQ, a simple in-memory queue with worker pooling and rate limiting in Elixir: https://github.com/fredwu/opq
- And a few years ago when I was heavily involved in the ruby/rails community, I had done an experimental project building a "layer 0" ORM on top of ActiveRecord and Sequel: https://github.com/fredwu/datamappify
If you think my skills and experience could add value to the project I’d love to chat more. You could reach me at ifredwu at gmail dot com. Thanks!