I created a Scheme in Haskell, complete with tutorial on implementation, to help people learn programming language design in Haskell. The goal is to make a solid, or nearly industry ready, Haskell project, and a narrative(free book) that people are able to follow along. I'm looking for contributors, if you'd like to take a look: https://github.com/write-you-a-scheme-v2/scheme, tutorial: wespiser.com/writings/wyas/home.html.
Before this, I was on a team building a programming language for financial analysis. It had basic javascript semantics, was interpreted, and mostly returned results as data visualizations to browser based UI. Why? Because the investors believed there is a significant market for bundling data sources, along with a proprietary programming language to hedge/mutual funds. The real difficulty in achieving this is the man-years of time required to build a language capable of reproducing the same analysis used in by quants in production before ever being able to apply a technology, like GPUs, you bet can make things better. It can be especially difficult for the business leaders to make decisions that impact a programming languages development, as the highly technical quickly meets the business relevant. If you ever go this route, have system architecture/design for the programming language that will bring you to a MVP. Otherwise, you'll be paying developers to play with prog lang ideas for years!
Location: Boston, MA
Remote: No
Willing to relocate: Yes
Technologies: Haskell, Python, R, SQL
Résumé/CV: https://wespiser.com/resume.pdf
Email: see resume
I am a data scientist and software developer interested in analytical software systems. I have experience in academia, where I did hypothesis driven research for 5 years, as well as 2 years in start ups, where I helped build the the statistical language features for a programming language in Haskell. I have a pretty good mix of technical and analytical skills, and can probably help if your company/project needs both.
