After focusing on other priorities, I was pulled into a revision of an interface (I had also created) as delievered for the Rich Data Summit allowing customers to send any model predictions under a certain threshold to the crowd.
I took the following (revised UX) static mock from Design
and iterated to deliver the following
Results
Crafted SPA as lynchpin connecting platform’s Machine Learning (Python) and human-in-the-loop (Ruby) systems after convincing team SPA was optimal approach.
In late August 2015, given previous successes in the year, I was tapped to lead the engineering team for delvering a conference-ready AI deliverable by early October.
In the months leading up to that, the CTO had been prototyping an intial verion of the app in Rails which, for the conference, was to supposed to be integrated with other legacy apps (Rails 3.2 and Merb) and have its UI overhauled to be compliant with the newly-created company Styleguide.
Week 1
Given Balsamiq wireframes, put together a few layouts
Put basic routes in place
Began architecting common styling solution between AI app and legacy apps
basics coming together
Week 2
Continued work on common styling
Made choices aobut JS libs and prototyped interactions given wireframes; got buy-in from CTO, Product, and Design
Began work integrating with ML Python web service
first index page of models
Week 3
Given higher-resolution mockups by Designer, started to polish look-and-feel
With architecture in place, began to parcel work out to other engineers
first version of export
Week 4
As conference neared, knew we weren’t going to be able to deliver everything; worked with Product to focus on MVP
Oversaw work of other engineers
adding data to the model
Week 5
Continued to lead other engineers and refine interactions
annotating a model
Week 6
Applied final polish
Delivered for the conference! Following are a few screenshots demonstrating some of the deliverables
Results
Led team in coordination with CTO to deliver AI application (Rails) for company-sponsored conference on Machine Learning, Artificial Intelligence, and Data Science.
