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Studying enterprise scale AI assisted workflows
:shipit:
Studying enterprise scale AI assisted workflows

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mvdmakesthings/README.md

Hi. I'm MVD 👋

I’m a Louisville-based software engineering leader, visual artist, and lifelong maker. I organize and lead distributed engineering teams through modernization work, pulling old systems into the cloud and driving observability to make data-driven decisions. While I work to enable team autonomy, I still like being close to the code, experimenting with tools like Swift/iOS, Python, TypeScript, Traditional AI/ML, being extra nice to our robot overlords to avoid being taken during the uprising, and AWS whenever I get the chance. I'm a firm advocate for automating whatever you can so that you can focus on the harder problems.

As a kid, I used to take apart remote controls just to see the circuits, and pull pans out of the cabinets to play them like an instrument; not much has changed. Now it’s software tinkering, woodworking, and whatever half-finished electronics project is sitting on my bench. I love learning new things, experimenting, and researching.

Art is the other side of the same coin for me; painting, sculpture, or interactive pieces that usually start as experiments and sometimes turn into something I like. The overlap between engineering and the creative arts is where I’m most at home.

Instagram: @MVDMakesThings

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  1. Ephemeris Ephemeris Public

    Ephemeris is a Swift framework for satellite tracking and orbital mechanics calculations. It provides tools to parse Two-Line Element (TLE) data and calculate orbital positions for Earth-orbiting s…

    Swift 2 1

  2. Enterprise-AI Enterprise-AI Public

    Enterprise AI Workflows & Strategy for Software Teams. Process over prompting