This is another random page I am creating with this static site generator. It is not as bad as I thought it would be when I started. When I did the Quantierra landing page, I did it with server side rendering and I have been thinking of whether or not to redo it as a static site.

But in the meantime, here is some filler content I threw together, it is not much right now but I will add to it as I get more free time and what not. It is not like anyone is actually reading this.

First off I have to always start with some hipster ipsum (


Jianbing deep v succulents beard YOLO pok pok cred banh mi hell of chillwave venmo. Mumblecore jean shorts listicle raw denim. Raw denim gastropub put a bird on it pinterest, microdosing franzen chillwave biodiesel celiac. Retro aesthetic chartreuse meditation, raclette offal normcore.


So I have worked on many engineering and data projects, but the biggest one so far is Quantierra. Although Quantierra itself is a company, in this case I am referencing the actually software and data. I have tackled large data projects before, such as tracking the oil and gas fields in the continental United States, but this has been a bigger project. The application itself pulls in both public and private data, both with an API and without, both structured and unstructured using techniques including but not limited to scraping, parsing, optical character recognition, processing large comma separated values files and text files, and so on, making sure we diligently try and follow and the rules and laws of the sites we get it from and continue to try and keep on top of any rule changes. And then we take all that data and carefully clean it, using our software, this is a tedious and thankless process, but it is one of the things that differentiate this whole application from other similar ones. After cleaning it, we structure it and then normalize it and persist it in a database and then connect it to other relevant sources. And then we can analyze it from simple SQL queries to complex machine learning algorithms. We can do really cool things with this final result. Unfortunately, we cannot share a lot of our analysis but we did a zoning analysis for the New York Times using our data. Although the article only references Sandip Trivedi and Stephen Smith, it was a team effort, as is everything else in Quantierra. Here is more information about the Quantierra project. This piece referenced our data (disclaimer alert, just because I am sharing the article does not mean I do or do not endorse it, just want to share that they are referencing our data).

I should probably create a separate page for detailed information about the Quantierra project.

Without the support of some great investors that have supported the development of building Quantierra’s project, neither the project nor quantierra would have been built, investors like Y Combinator and Venture Souq and many others. Check out places like Crunchbase, Angel List and Pitchbook to see a more detailed list of investors for Quantierra.

I have many other projects other than Quantierra I will talk about, like that large oil and gas data project as well as many others, again, whenever I get the time and space to do it. I have code for my projects on GitHub and Gitlab and data competitions on Kaggle, which might as well be considered projects. Also, I have listed out my projects on Linkedin, Angel List, F6S and others. I probably should blog about these projects on or my blog on Hashnode (Hashnode profile) or maybe even Medium although maybe I should keep engineering and data stuff in a separate blog from other stuff. Either or, I do not have any content on them now so it does not matter.

Here are some code snippets (in Github gists), some of them are the beginning of projects or ideas, others are just information I have been asked to share:

If you have any questions or anything, feel free to DM on Twitter.

And now we can end with some Fillerama ipsum with Futurama ipsum (


No, I’m Santa Claus!

Is today’s hectic lifestyle making you tense and impatient? Have you ever tried just turning off the TV, sitting down with your children, and hitting them? Oh right. I forgot about the battle. So I really am important? How I feel when I’m drunk is correct?

Well, let’s just dump it in the sewer and say we delivered it. Look, last night was a mistake. So I really am important? How I feel when I’m drunk is correct? Interesting. No, wait, the other thing: tedious.