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DataDelver

Exploring the labyrinth of Data Science, Machine Learning, and MLOps one delve at a time.

Featured Series Modern ML Microservices

Delve 25: Let's Build a Modern ML Microservice Application - Part 11, Async

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"Squint and pretend the async and await keywords are not there. If you do that, you'll realize that the code reads exactly like synchronous code" - Guido van Rossum

Hello data delvers! After a bit of a hiatus, I wanted to return to our modern ML microservices series. Part ten of the series focused on leveraging AI to improve the developer experience. In this part, I'd like to leverage it to improve the application itself!

  • in Meta
  • 6 min read

Delve 24: Adding a Newsletter & Other Site Enhancements with AI

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"Don't talk about AI. Use it." - Andrew Ng

Acquire Front End

Greetings data delvers! You may have noticed some changes to the site recently. No, I did not suddenly develop front-end skills, however with a local LLM available to me now I have the ability to improve several aspects of the site's UX. This all started with a simple prompt:

Claude

How would you improve this blog: https://www.datadelver.com/ source code is here @Documents/Blog/datadelver.github.io/

Delve 23: Let's Build a Modern ML Microservice Application - Part 10, Improving DevX with AI

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"Code is read much more often than it is written." - Guido van Rossum

Greetings data delvers! It has been a while since we last delved into modern ML microservices. In part nine of this series we looked at optimizing our docker container setup. Since then, AI of course has become a much more prominent tool in the software engineering space. While there has been much commentary about how AI can lead to developer burnout, for this delve I want to take a look at how AI can actually improve the developer experience!

  • in AI
  • 10 min read

Delve 22: A Local Claude Code Redux

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"It is not the strongest or the most intelligent who will survive but those who can best manage change." - Charles Darwin

Hello data delvers! It's been some time but I'm back with more delves! In the time since my previous delve the landscape for local llm development has already shifted quite a bit so I want to come back with a refreshed setup guide!

  • in AI
  • 4 min read

Delve 21: A Local Claude Code

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"The right tool doesn't just make a job easier; it changes how you think about the problem." - Gemini 3

Hello data delvers! Though I am cautiously skeptical of the hype around AI, one area that I have seen my own productivity increase is by leveraging AI as a pair programmer. Up until this point, I have primarily relied on Github Copilot as my AI assistant. However, I recently gave Claude Code a try at work and was pleasantly surprised at its ability to go beyond what I had seen from Copilot and really "pair" with me. Based on these results, I resolved to set it up on my own machine to use for my personal projects. However, not wanting to spend money on tokens I wanted to be able to run an LLM locally and connect it to Claude Code. Fortunately with the latest release of Ollama this is a pretty straightforward thing to do!

  • in Meta
  • 2 min read

Delve 20: A Look back at 2025

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"Self-reflection is the school of wisdom." - Baltasar Gracian

Happy 2026 data delvers! As we enter a new year I wanted to take some time to reflect on the past year, share some thoughts about how I think it went, and shed some light on my goals for 2026!

Delve 18: The Challenges of AI in Industry

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"The first rule of any technology used in a business is that automation applied to an efficient operation will magnify the efficiency. The second is that automation applied to an inefficient operation will magnify the inefficiency." - Bill Gates

A Challenge

"What are the biggest challenges you've faced when integrating AI into your work?"

Greetings data delvers! I had the opportunity to serve on a multi-disciplinary panel recently where I was asked that very question. At the time, my answer focused on immediate challenges with data quality and access to tooling. While those are legitimate concerns, the question has stuck with me for the past few weeks as requiring a deeper answer. As I've been thinking more about it, I've developed a more nuanced view which I'd like to capture here. Hopefully, it may be of use if you are looking to adopt more AI into your workflows!

Delve 17: Data Science, An Industry Perspective

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"Academia is about discovering truth. Industry is about delivering value." - Cassie Kozyrkov

Oops

Hello data delvers! I recently had the opportunity to give a guest lecture at my Alma Mater to students about the differences between practicing data science in academia vs industry. It was a lively discussion and I wanted to capture some of my thoughts as I think they could be particularly useful to individuals transitioning from an academic setting to an industrial one. The objectives, methods of working, and ultimately what determines your success are vastly different in academia compared to industry. To illustrate this here is an example of a conversation I had early in my career:

Delve 16: The Quest for a Full Screen Raspberry Pi Application - Part 2

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"The only constant in life is change." - Heraclitus

Full Screen Applications on the Raspberry Pi, Why so Hard AGAIN?

Hello data delvers! I recently revisited my Raspberry Pi after a long hiatus. As part of this I made sure to update all the packages and OS to the latest version. If you've read my previous Raspberry Pi delve, you'll know that being able to make applications full screen isn't as straightforward as it should be. Much to my surprise, after updating everything my fullscreen keyboard shortcut broke! After spending some time internet sleuthing I'd like to share what the fix is with you all!

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