Hi. My name is Paul,
Product Designer & Engineer.

Canary is a tool I built for my e-commerce team to help address fulfillment problems. Shipments from China would be held up in customs, or customers would never receive an item and eventually after a volume of data we were able to develop heuristics around this and build a tool that was not available to the public at the time.

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I built the platform end to end using the basic Linux LAMP stack in conjunction with a tracking API from Chinese tracking company 17track. Every few hours I would poll our Shopify API and 17 Track to check the fulfillment status and based on the codified heuristics we were able to determine the likelihood status of orders so our fulfillment team can react in time and salvage a sale/fulfillment process from an upset customer and ultimately save our company hundreds and thousands of dollars in the process.

I've also open sourced this, enjoy!

Chart Visual is a tool that helps forex traders get an edge to informed trading. I developed a web front-end that connected to a series of Meta Trader 4 bots as well as all the visualizations with D3.js.

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I developed the front-end with the usual suspects, CSS3, JS, HTML5 with JQuery and the backend with PHP on AWS. What was interesting was working with another develop on the trading bots themselves. The C# developer would code the strategy and I would code in C# the part that would write to a MySQL database. From there I would visualize the data in D3.js. With the exception of playing in Unity, this was my first deep experience with C#.

I've open sourced the code below. Check it out.

Deviant Spy is a native advertising (RevContent) spy tool I built with my marketing partner. I developed sophisticated scraping bots in PhantomJS and NodeJS that would leverage geo proxies and pretend to be multiple user profiles. I would collect placement IDs of publishers and determine which Widget IDs would be profitable so we could run out own offers.

This helped us developed a series of profitable campaigns, as well opened the possibility of building additional sophistication to the tool. Built with:

I coded the entire project in PHP for managing the data, and Node.js Phantom.js for extracting the data and storing it. The amount of data generated from the project was massive and was one of my major forays in optimizing server environments as well as MySQL queries.

In the image above you can see an example of the results of winning widget ID placements as well as the offers being ran. This gave us an edge in media buying because we would not need to run RON (Run of Network) campaigns to buy data. We got the data for free using this tool.

I've open sourced it. Check it out!

ShopifyIQ is a spytool I built with my marketing business partner. I discovered that Shopify's APIs were fairly open, and leveraging this I could poll a store's products and understand which are the best sellers by rank. Doing this a few times a day would give me a snap shot of each products performance. Using this, I could determine the velocity of "winning products" coupled with data from our successful million dollar revenue stores.

This tool was instrumental in helping is not waste tens of thousands of dollar in testing products to sell, it would give us an insight others would not have and allow us to act quick.

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I designed the product, schema and code myself end-to-end. Leveraging similar things I learned with DeviantSpy Native Ad Spy tool I created the MVP in the span of a month once I had the insight.

I heavily leveraged Phantom.js to scrape the data as well as some bash shell scripting to automate the pipeline of this data. I've happily open sourced the code below!

Adsensor was the first project I built after leaving Pangea. It is an anti-fraud tool used in DSP ad creatives to determine the nature of the impression and user delivering said impression.

This tool helped boost our media buying efforts and resulted in massive revenues that helped fund my partner and I's e-commerce business. I built this tool from scratch.

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This tool was built with my familiar front-end and back-end stacks. This project gave me a deep understanding of the advertising value chain and ecosystem as well as ad fraud techniques. I am proud of this project as it helped enable so much.

My partner and I were running several of our branded e-commerce products on a platform called Click Funnels. CF would have simple to use funnels but terrible develop integrations, likle integrating sophisticated tracking

I created a javascript integration that would allow us to track campaigns in a sophisticated manner with both our tracking tools Everflow and Voluum. I decided to give this away so other devs don't have to suffer :)

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My partner and I did not like the limitations of Shopifys merchant processing so I developed an integration that allows you to leverage Shopify's front-end but securely complete the purchase on Konnektive which allows you to charge in any currency with no problem or let you use any merchant processor.

I've also open sourced this so no other develop should suffer the headache that we did.

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My business partner and I found that as great a platform Click Funnels was, it's merchant processing is terrible and limited. I built a javascript integration that allows you to halt the normal flow of Click Funnels and extract the data to complete the transaction in Konnektive securely.

I've open sourced it so no other developer has to deal with this PITA.

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