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btbytes/README.md

Hi there ✌️

This is Pradeep Gowda.

This is the perfect place to talk about programming and stuff ;)

  • I like programming in: Python, Nim, and Scala
  • I have programmed professionally in: Java, Javascript, Bash
  • I have done non-trivial amounts of programming in: Erlang, Rust, D, C, C++, Lua
  • I want to get good in: OCaml (or F#), Nix, and Go
  • Languages I wish I could be programming: Common Lisp, APL, and FORTH

Contact

You can get in touch with me: ✉️ pradeep🌀btbytes.com or LinkedIn

Recent hacks etc.,

  • Aug 2025; Slugify Boop Script - handy Boop script that I needed to convert web page titles into friendly URLs when saving them as PDF.
  • Aug 2025; Die Monospace Web, further experiments with monospace design for the web.
  • Aug 2024. I used Claude 3.5 Sonnet to write a MacOS Automator script to convert .png/.jpg etc to a smaller sized, web optimized .webp format. I'm really thrilled that I was able to go from having to use command line, (and context switching) to something I can do in the Finder. In this case, Claude was acting as my tutor, and I learnt something new. You can see my thread on X on how it all went down; and the resulting MacOS workflow is here on github.
  • July 2025; one-shot code generation using Gemini CLI - "Server Side RSS Reader"
  • Aug 2024; Simplestatapp, a demonstrative example of how to build a tiny (by modern standards), a standalone web application that has database support etc for under 6MB, and can be deployed to a PaaS provider like Fly.io. This one helped me understand C compiler and linkers a bit better.
  • Aug 2024; Tohray, A microblogging application in Nim. This helped me learn Nim as a practical language, prologue web framework, multi-stage docker builds etc..
  • Apr 2024; Pandaku, a fly.io deployment of pandoc API. Has Docker, Fly configs, and example code on how to use the API

Recent learning

  • Sep 2024. Ulimate Rust Crash Course. The code repo with my exercise solutions.

  • Sep 2024. I also learnt Next.js fundamentals while doing a take-home exercise for a job interview.

  • I'm practicing "leetcode" programming

  • Learning generative AI and large language models

  • Reviewing and revising Distributed Computing, and stream processing concepts

  • How to use self-hosted/local Generative AI for local development

  • Enjoying nim programming

Writing

Links related to programming

  1. List of talks I have given
  2. Current projects
  3. My Code in Books
  4. Old projects - likely all of them of archive-worthy

Education

I have a Masters in Computer Science from Purdue University and Bachelors in Mechanical Engineering from PESIT.

Work experience

I currently work at MISO as a AI and ML Engineer on the Grid R&D Team building Generative AI related solutions.

I have worked in the recent past for: Ollyver (startup I bootstrapped), Microsoft and Proofpoint. My past decade's work is in leading and writing code on development teams in the cybersecurity engineering domain while solving for large scale data gathering, processing and producing data products.

Location

I live in Carmel, IN - a suburb of Indianapolis, IN in the USA. My home town is Bengaluru, India.

Pinned Loading

  1. treehopper treehopper Public

    Report on: an explorer for Distributed Version Control System managed source code repositories using Neo4J

    CSS

  2. prlink prlink Public

    A rust program to generate play.rust-lang.org links from .rs source files.

    Rust 14

  3. dlang-linq-examples dlang-linq-examples Public

    101 C# LINQ samples in D

    D 9 1

  4. pol pol Public

    Typeset version of Chuck Moore's book: "Programming a Problem-Oriented-Language"

    TeX 12 1

  5. mdninja mdninja Public

    mdninja + markdown + jinja2 templating = beautiful HTML documents.

    Python 5

  6. pandaku pandaku Public

    An attempt to run pandoc server as a standalone service on the web

    Dockerfile 1 1