Category: Engineering
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LLMs Alternatives for Software Development in Regulated Industries
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, offering new ways to improve productivity and transform workflows. Enhancing Software Development with LLMs If you write software for a living, you’ve probably encountered…
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Case Study: Leveraging Machine Learning for Spoken Media Analysis – Share of Voice of Puerto Rico’s Political Figures in 2024
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 output can be used for automatic mention detection and tracking metrics such as Share of Voice of political figures in…
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Challenges and Benefits of the Analytics Engineer Role
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 that I have experienced while adopting this role in my team.
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Local Dev with Astro CLI and Remote Databases
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 in your cloud provider. In this blog post, we’ll demonstrate how to set up local development for Astronomer and Airflow while connecting to a Redshift…
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Managing Python versions and environments in macOS
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 saw myself using Python more and more and decided to stop kicking the can down the road and “properly”…
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How to easily migrate your Brew packages in macOS
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 the packages and apps I use daily. I have been using Homebrew to manage my macOS dependencies for a…
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From Software to Data Engineering
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 sites lacked any established data pipelines, relying solely on basic event capture. What was initially a three-month project ignited my passion…