<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Blog on David Bartolomei</title><link>https://www.davidbartolomei.com/blog/</link><description>David Bartolomei is a software engineer and founder from Puerto Rico, currently building Monitorea.</description><generator>Hugo -- 0.157.0</generator><language>en</language><copyright>© 2026 David Bartolomei</copyright><lastBuildDate>Sun, 05 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.davidbartolomei.com/blog/feed.xml" rel="self" type="application/rss+xml"/><item><title>Migrating from RunPod to Local Whisper Inference with MLX and a DGX Spark</title><link>https://www.davidbartolomei.com/migrating-from-runpod-to-local-whisper-inference/</link><pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.davidbartolomei.com/migrating-from-runpod-to-local-whisper-inference/</guid><category>Experiment</category><description>How we moved from RunPod's serverless GPU inference to local Apple Silicon and NVIDIA hardware for Whisper transcription, cutting costs from $500/month to near zero while improving quality.</description></item><item><title>Launching Monitorea: Broadcast Media Intelligence</title><link>https://www.davidbartolomei.com/launching-monitorea-ai-agents-for-broadcast-media-intelligence/</link><pubDate>Wed, 01 Oct 2025 00:00:00 +0000</pubDate><guid>https://www.davidbartolomei.com/launching-monitorea-ai-agents-for-broadcast-media-intelligence/</guid><category>Project</category><description>From a case study analyzing Share of Voice in Puerto Rico's radio to launching a private beta — how we built an AI-powered platform that deploys agents to monitor broadcast discussions 24/7.</description></item><item><title>LLM Alternatives for Software Development in Regulated Industries</title><link>https://www.davidbartolomei.com/llms-alternatives-for-software-development-in-regulated-industries/</link><pubDate>Wed, 09 Oct 2024 00:00:00 +0000</pubDate><guid>https://www.davidbartolomei.com/llms-alternatives-for-software-development-in-regulated-industries/</guid><category>Writing</category><description>By the time you’re reading this, the landscape of Large Language Models (LLMs) has likely evolved further, but one thing remains constant: their usage in software development continues to ramp up, off</description></item><item><title>Spoken Media Analysis: Share of Voice of Puerto Rico’s Political Figures</title><link>https://www.davidbartolomei.com/case-study-leveraging-machine-learning-for-spoken-media-analysis-share-of-voice-of-puerto-ricos-political-figures-in-2024/</link><pubDate>Tue, 01 Oct 2024 00:00:00 +0000</pubDate><guid>https://www.davidbartolomei.com/case-study-leveraging-machine-learning-for-spoken-media-analysis-share-of-voice-of-puerto-ricos-political-figures-in-2024/</guid><category>Case study</category><description>This is the first in a series of articles where I share my findings exploring Speech-to-Text (STT) ML models to transcribe and analyze spoken content in news media. In this article, I discuss how STT</description></item><item><title>Challenges and Benefits of the Analytics Engineer Role</title><link>https://www.davidbartolomei.com/challenges-and-benefits-of-the-analytics-engineer-role/</link><pubDate>Mon, 22 Apr 2024 00:00:00 +0000</pubDate><guid>https://www.davidbartolomei.com/challenges-and-benefits-of-the-analytics-engineer-role/</guid><category>Writing</category><description>The Analytics Engineer is a relatively new role that emerged during the “Modern Data Stack” trend of the last 5-10 years. In this article, I discuss some of the learnings, challenges, and benefits tha</description></item><item><title>Local Development with Astro CLI and Remote Databases</title><link>https://www.davidbartolomei.com/connecting-to-remote-databases-while-developing-with-astro-cli/</link><pubDate>Sun, 11 Feb 2024 00:00:00 +0000</pubDate><guid>https://www.davidbartolomei.com/connecting-to-remote-databases-while-developing-with-astro-cli/</guid><category>Writing</category><description>When working with Astronomer and Airflow for data processing and ETL tasks, it's common to encounter scenarios where you need to interact with databases hosted within a private subnet in your</description></item><item><title>Managing Python Versions and Environments in macOS</title><link>https://www.davidbartolomei.com/setting-up-python-in-macos/</link><pubDate>Wed, 01 Dec 2021 00:00:00 +0000</pubDate><guid>https://www.davidbartolomei.com/setting-up-python-in-macos/</guid><category>Writing</category><description>I have been using Python for a while now, and managing dependencies and versions always has been a pain. macOS still comes with Python2.7, but most dev works have moved to Python3. This time around, I</description></item><item><title>How to Easily Migrate Your Brew Packages in macOS</title><link>https://www.davidbartolomei.com/automatically-install-almost-everything-in-your-mac/</link><pubDate>Sun, 06 Dec 2020 00:00:00 +0000</pubDate><guid>https://www.davidbartolomei.com/automatically-install-almost-everything-in-your-mac/</guid><category>Writing</category><description>Recently I decided to do a clean install on my personal Mac at the same time and start optimizing my dev setup and overall productivity. The first step towards this goal was to automate installing all</description></item><item><title>From Software to Data Engineering</title><link>https://www.davidbartolomei.com/from-software-to-data-engineering/</link><pubDate>Mon, 26 Oct 2020 00:00:00 +0000</pubDate><guid>https://www.davidbartolomei.com/from-software-to-data-engineering/</guid><category>Writing</category><description>I started to work as a data engineer when me and my team were tasked to automate some data sets and reports for the businesses/brands our team was supporting. The challenge was significant: these site</description></item></channel></rss>