Justin Miller

Building a chat application where the server never sees plaintext messages requires careful coordination between cryptographic primitives, real-time delivery, and persistent storage.

Streaming data to Kafka from distributed data processing pipelines is a common pattern, but the integration details matter.

Vector databases like Turbopuffer are becoming essential for AI applications, but integrating them can be a challenge if careful considerations around batching and performance aren’t made.

Companies often develop internal libraries that expose inputs and outputs to functions via Pydantic.

In this blog post, I’ll walk through how to automatically generate documentation for your dbt project using OpenAI—completely integrated into your GitHub Actions pipeline.

In this blog post, I will demonstrate how the Airflow AI SDK and Ollama can be used to develop Airflow DAGs at no cost locally with Astro CLI.

In this post, I’ll walk through fine-tuning Gemma-3 using Hugging Face and the Unsloth library.

Introduction Orchestrating distributed workloads efficiently is essential to maintaining performance and cost effectiveness of modern data engineering and machine learning workflows.

Extracting information from text can be a time consuming task, especially when you’re looking for a needle in a haystack.

This blog post is a combination of notes and references used in my talk on June 8th, 2017 at ProtectWise.

This blog post is the last of a three part series, this section covers: Operations on Scala Collections File I/O Trivia Operations on Scala Collections It’s possible to compose operations on collections, here are a few examples. scala> val listOfSentences…

This blog post is the middle of a three part series, this section covers: Sets Maps (HashMap and TreeMap) Array and List Buffers Queues and Stacks For performance characteristics of the various data structures listed below, please see: Performance Charact…

This blog post is the beginning of a three part series that will cover a variety of topics around Scala Collections, this part will cover: Mutable and Immutable Collections Lists Traversable and Iterable Sequence Traits (Seq, IndexedSeq, LinearSeq) Mutable

This year I wasn’t able to make it to Scala Days (hoping next year I’ll get to go!).

Lately I’ve become interested in category theory and it’s application to software engineering.

Recently I was interested in seeing all the places I’ve taken photos and found a way of extracting exif data (specifically lat/long) from images stored on my cell phone.

A quick post to demonstrate the differences in performance when FileVault 2 is enabled vs disabled.