I was asked to help prototype a possible experience for Nike that could go into one of their stores. Essentially it is a apparel visualizer that layers on user selections onto an image of a model. I built a tool that could take preset selections of clothing as well as pull in clothing from the Nike website.

This was done with web technologies, namely React and Three.js.

I recently went back and remade it taking some time to make some changes and improvements. You can see it by clicking on the link in the title. The source can be found at

gitlab.com/xoio/clothing-…

Around late summer in 2021, I was offered the opportunity to help build an in-person installation version of one of the exercises for the Teachable Machine website.

The idea was basically to take one of the experiences from the site and bring it to life in one of the Google offices so that visitors could experience machine learning in action and in person.

The setup is somewhat unconventional compared to how most installations might be built in that everything was still built with web technologies(vanilla JS, CSS, HTML in this case) vs something like C++.

While it's long since been taken down, you can still visit the Teachable Machine website and try the Image Project to get a sense of what the experience was like.

I worked as a "creative coder" for Facebook through a third party staffing agency(TEKSystems).

For the most part, my role was to facilitate the building of various effects for Facebook/Meta Camera. These usually consist of 2D photo manipulation effects as, at the time, it was very difficult to do more without either more functionality being built into the SparkAR Studio program or having other employees on the team with the necessary skill-sets(ie 3D modeler, etc). Building these effects usually utilize the Spark AR studio which allows node based building as well as providing a Typescript based interface for writing code.

One major project I took on was one where I was the primary driver involved converting existing Facebook effects to be compatible with a newer updated rendering engine that was being built at the time.

I spent some time at the agency Level Studios doing work for Apple. My role was to help maintain apple.com. In my time there I did work on the Apple Music and Final Cut portions of the site.

Though I believe it’s now changed, at the time, Apple was using an in-house custom framework that constructed pages out of Markdown and merged the output with stand-alone JS and SCSS files that were using in-house libraries to build each part of the site.

This was an experiment to see if it's possible to pipe in some WebGL content into a diffusion pipeline.

The is largely based on the work of Radamés Ajna, who did a similar experiment but using webcam / screen content instead.

The idea is pretty much the same, with the exception that I'm streaming content from a Canvas element instead of taking in the webcam / screen capture stream.

I did rebuild parts of it - his original code was built around the idea of multiple concurrent connections and to be deploy-able. Given that I unfortunately can't afford to rent a GPU at the moment and since I really just wanted to see if what I was thinking was even possible, I stripped and simplified some parts of the code. It was also a good opportunity to brush up with my Python knowledge as I don't really get a chance to use Python all that often.

I also took the opportunity to rebuild the client around Solid.js, much for the same reasons as the server portion.

• Original Repo

• Original Demo

This was a sample project I built as part of an interview process.

It uses React and Three.js through the react-three-fiber framework. It's also basically my first scroll driven site as well; there are a few hiccups still if you scroll fast enough but I think things worked out for the most part in the end.

Though I didn't make it in the end and this is a little rough around the edges(I only had a few days to finish), they liked it enough to give me a second interview so I figured I'd share since I have had very very very few opportunities to touch React in the first place.

If you'd like to see it live, you can by clicking the link in the title.

You can find the code here

<gitlab.com/xoio/example-p…>

This is a simple exercise using SvelteKit to simplify the use of an infamously complicated piece of software called FFMpeg which is commonly used for media encoding and conversions.

One potentially interesting thing about this is that it does not require a local copy of FFMpeg but rather, uses the WASM version of FFMpeg instead, allowing everything to run entirely in the browser.

To simplify commands, OpenAI's completion api is utilized to turn a user's instructions into a command that can be passed to FFMpeg.

Source can be found here
gitlab.com/xoio/example-p…

I have normally used bit.ly to make links shorter in the past.

Unfortunately, with bit.ly,'s free tier, you can't edit the destination of links that you set up, you have to delete then re-add the link.

I understand needing to make money and thus, guiding customers towards one of the paid plans, but at the same time it feels like a basic feature that should be there no matter what.

That being the case I thought I should just build my own.

The domain name selection was the hardest part, in the end I settled on lnnks

This project has also given me the excuse to explore several varieties of languages and frameworks namely

• Svelte(Kit)

• Qwik

• and now I've shifted to the backend and am now running a simple Go server to manage everything.

• I'm also exploring Elixir as a possible option and have most of the same functionality built out using the Phoenix framework(yes it is a little overkill for this) but I'll probably save Elixir for something else.

Apologies for no images, since it's a personal tool I didn't really bother styling it. See the link above in the title for the source.

Most of the links below are now set up using the system, do feel free to try it out.

This was just a quick experiment building a custom COP(compositing operator) node in SideFX's Houdini software via HuggingFace's Diffusers library.

The way it works is first by turning your scene inside of Houdini into a 2D image. It then passes that image to StableDiffusion and outputs the result.

The one disadvantage of this method is that you kind of loose out on the benefits of using something like Houdini as you have to recreate different aspects of the scene yourself that might normally be done for free with one of the built-in renderers(though you could probably get by this by running Stable Diffusion in a post-render step).

Overall this was an interesting experiment.

I got back into photography last year, specifically focusing on street photography. Picked up a used camera and have been shooting as much as I can since.

I usually post to Instagram under the @sortofsleepy but I also post on Flickr since Instagram seems to do "something" to the uploads that occasionally creates noticeable artifacts.

This is a personal project started, initially, in order to get familiar with Vulkan. I started in C++ but eventually thought that this might be a good opportunity to try to get familiar with Rust as well(which in hindsight might not have been the best idea haha)

It's evolved into something reasonably feature complete, at least for my use cases and I'm able to easily accomplish the same kind of work I might have normally used Cinder or openFrameworks for.

This is a custom WebGPU wrapper I started back in 2020 when the WebGPU was just starting to get into a workable state.

Originally it started out as a web based library, then shifted to Rust. However, recently I revamped it a bit and made the web/rust versions separate repositories in addition to cleaning up both versions. The web version is linked to in the title and you can find the Rust version here

gitlab.com/sortofsleepy/w…

(currently doing work in the "cleanup" branch)

This is a personal library I started in order to learn more about raw WebGL. Up until this point I was using Three.js but I wanted to have a better understanding of what was happening under the hood, so I decided to undertake the immense(at the time) task of writing my own library from scratch.

I've started a re-write recently which I'm almost done with; that said I'm not sure if it's worth fully pursing extensively given that WebGPU is now in Chrome publicly and set to be available for other browsers in the not too distant future.

This is an openFrameworks addon that provides some basic helpers with using ARKit in conjunction with openFrameworks.

One of the unique things about this is that there is a translation layer that processes the incoming camera image with Metal, then passes that over to the OpenGL side of things(which is what openFrameworks uses under the hood).

I began developing this addon during my time at Level/Apple. Due to the nature of my work at Apple Marcom, my workload was mostly concentrated before their major annual releases such as WWDC. As a result, I had some spare time on my hands and decided to work on this project during that period.

Eventually other people contributed a bit to the work to make it into the addon that it is today, supporting things like face tracking as well as ... airpod tracking too.

At the moment I've been a bit slow at keeping it updated as I don't normally use Macs anymore and the one iPhone I have is quite old and doesn't support the newer features. Also with the iOS deprecation of OpenGL I've been waiting to see what the openFrameworks team has planned.

As to what has been made with the addon, while in my opinion I generally lack the creativity to come up with interesting ideas and I unfortunately have been doing non-related things on the professional front, others have utilized this extension to produce some incredible results.

engadget.com/2017-09-11-the…

wired.com/story/an-artis…

I helped primarily with kicking off a new project with Google, which I cannot talk about at the moment or show pictures of. This was done within the Android ecosystem.

I worked as a "creative coder" for Facebook through a third party staffing agency(TEKSystems).

For the most part, my role was to facilitate the building of various effects for Facebook Camera. These usually consist of 2D photo manipulation effects as, at the time, it was very difficult to do more without either more functionality being built into the SparkAR Studio program or having other employees on the team with the necessary skill-sets(ie 3D modeler, etc).

One project where I was the primary driver behind was converting existing Facebook effects to be compatible with a newer updated rendering engine.

I worked at Rare Volume for a little bit as a Freelance Developer / Apprentice back in the later half of 2018.

I originally came to Rare Volume to help with a particular project that would involve web based technologies; unfortunately that project ended up getting cancelled.

They were very kind and kept me on for a little bit longer in spite of that. I still helped with various needs of the agency. Eventually I would have the opportunity to have somewhat of a key role on a project for SK-II where, under the supervision of a senior developer, I helped write a new auto-focus algorithm for some cameras that were going to be used outdoors. The project was an on-going project with several iterations; the particular iteration I was helping out with would be outdoors, so a revised version of the existing software was required.

In addition to that I helped with some prototyping for some new ideas to use within the Cinder C++ framework including bringing it to the web via Emscripten. Some of the initial research had been done before I started but I took it across the finish line on my own.

I spent some time at Potion Design helping them with various prototyping needs. One such need to was to have a library to use with a possible replacement for the Kinect, the Orbecc Astra.

Another thing I worked on was prototyping something for a project proposal using IR reflective material. The idea was to use the reflective material as an ID marker of sorts in order to identify physical objects in a space. The software I wrote was able to distinguish a different "id" based on the shape that the material was cut into which worked great, albeit a bit finicky at times as this was done purely with OpenCV and nothing else.

The big thing I helped with was an installation for NYU Langone Children's hospital. They wanted an interactive display that helped list the donors to the hospital as well as tell stories about the happenings going around the hospital. It was essentially an HTML5 website that utilized touch interaction. Hospital staff is able to update the display with new information being taken in from a Wordpress installation on a separate PC nearby.

I spent some time at the agency Level Studios doing work for Apple. My role was to help maintain apple.com. In my time there I did work on the Apple Music and Final Cut portions of the site.

Though I believe it’s now changed, at the time, Apple was using an in-house custom framework that constructed pages out of Markdown and merged the output with stand-alone JS and SCSS files that were using in-house libraries to build each part of the site.

Thanks to the WaybackMachine, it's possible to still interact with that work. You can find the relevant sections here

web.archive.org/web/2017110200…

web.archive.org/web/2022112218…