This is not a CV, but rather a web-scrape of me with minor context added by me.

As an undergraduate in physics doing research in an Exoplanets group, I also participated in SPS. You can see an SPS report I was credited in and minorly involved with here

• https://www.researchgate.net/publication/333192205_University_of_Central_Florida_SPS_Chapter_Research_2017-18_Award_Final_Report
  • uncertain copyright

In that exoplanet research group, I contributed (very minorly) to one of the early ML papers in Exoplanetology found here:

• https://www.researchgate.net/publication/360194212_Accurate_Machine-learning_Atmospheric_Retrieval_via_a_Neural-network_Surrogate_Model_for_Radiative_Transfer
  • uncertain copyright

It's a pretty impressive paper that I felt bad for getting my name on until I remembered all the work I did on that research group's Photometry code (called POET internally, though there is now a competing exoplanet photometry code by the same name) which never saw the light of day. In graduate school, I worked in a computer vision research group and worked on an activity detection surveilance system, and helped our team reach the top of the leaderboard (for the metric that was chosen, on a leaderboard/year I can't find now). Anyway, the trecvid people requested a write up which we provided and can be viewed here:

• https://scholar.archive.org/work/wrtnbiq6mfcirbcdywos3bvueq
  • uncertain copyright

In addition to that paper, there is another one which was published in a journal here:

• https://openaccess.thecvf.com/content/WACV2022W/HADCV/html/Dave_GabriellaV2_Towards_Better_Generalization_in_Surveillance_Videos_for_Action_Detection_WACVW_2022_paper.html
  • uncertain copyright

I gave a talk at some point in CVPR describing the system I helped build, and I'm sure a recording exists, but I can't find it (if you find it, let me know). After leaving my graduate program and beginning work in Silicon Valley, I gave a presentation on some basic federated learning principles at Dweb Camp 2023, found here:

• https://archive.org/details/thunder_day2_1100_-_zacchaeus_scheffer
  • No license marks are given there, though I was told by a Dweb organizer that all such videos are released CC-BY 4.0, though they don't identify a copyright holder so giving credit (as required by CC-BY) might be difficult. Risk of adverse legal action is unlikely though.

The next year, I gave a presentation of my custom mobile compute setup at Dweb Camp 2024. Unfortunately, the recording of this talk has not yet been uploaded.

• <awaiting upload by Dweb folks>

Also at dweb camp, a person by the name Christine Lemmer-Webber was interested enough in my setup to take a video and write a blog post:

• https://dustycloud.org/blog/the-diy-foss-cyborg/
  • CC-BY-SA Christine Lemmer-Webber

I also have the video hosted here, credit filming by Christine Lemmer-Webber CC-BY 4.0:

Now we get to the "dirt". If you came in search of dirt to dig up on me, then look no further than the patents with my name on them, which can be viewed here:

• https://patents.justia.com/inventor/zacchaeus-scheffer
  • not sure what the copyright on a patent means

In my defense, patent law is first-to-file, not first-to-invent, and you have a whole year to file after the first disclosure. What that means is that because patent law exists, you MUST patent, at the very least to counter sue would-be plaintifs. Additionally, the company I work for has a history of using patents for specifically defensive purposes.