About Andrés M. Prieto

I’m Andrés M. Prieto, a Senior Software Engineer specializing in artificial intelligence infrastructure, full-stack web development, and developer tooling. I enjoy building software that solves practical problems while remaining maintainable, observable, and scalable over time.

My work spans JavaScript, TypeScript, Python, and GNU/Linux, with a strong emphasis on cloud-native development, automation, AI-powered applications, and software architecture. Throughout my career I’ve worked on products ranging from blockchain platforms and enterprise web applications to AI assistants, developer tools, and open-source infrastructure.

Rather than focusing on individual technologies, I focus on understanding systems. Every project is an opportunity to improve architecture, automate repetitive work, and create software that remains reliable long after its first release.

Engineering philosophy

I believe good software is the result of thoughtful engineering rather than clever code.

My approach begins by understanding the problem before selecting technologies. I prefer simple architectures that evolve naturally instead of introducing unnecessary complexity. Readability, maintainability, and observability are priorities in every project I build.

I also believe documentation, testing, automation, and developer experience are first-class engineering concerns rather than afterthoughts. Reducing friction for future developers—including my future self—is an investment that consistently pays off.

Technical expertise

My primary programming languages are JavaScript, TypeScript, and Python.

Over the years I’ve built applications using modern frontend frameworks including Vue.js, React, and Astro, while developing backend services with Django, FastAPI, Node.js, and REST APIs.

I’m comfortable designing complete systems, including frontend interfaces, backend services, databases, authentication, CI/CD pipelines, containerized deployments, and cloud infrastructure.

Daily work frequently involves Docker, Git, Linux servers, AWS services, PostgreSQL, SQLite, Redis, API integrations, automation scripts, and infrastructure management.

Artificial Intelligence

Artificial intelligence has become one of my primary areas of interest.

My recent work focuses on AI infrastructure, intelligent agents, prompt engineering, retrieval augmented generation (RAG), developer assistants, automation workflows, and LLM integrations.

I’m particularly interested in building practical AI systems rather than demonstrations. My goal is to create software that meaningfully augments developer productivity, automates repetitive tasks, and makes complex workflows more accessible.

I’ve worked extensively with Claude, Cursor, modern LLM APIs, vector search, knowledge indexing, and AI-assisted software engineering.

One of my ongoing projects is Lyra, an AI assistant designed for GNU/Linux that combines local system knowledge, command execution, retrieval pipelines, and modern language models to provide contextual assistance directly on the operating system.

Open Source

Open source has played a major role throughout my career.

I actively publish personal projects on GitHub, contribute to community initiatives, and build tools intended to help other developers.

Many of my projects explore Linux tooling, developer productivity, automation, AI, and educational resources.

I strongly believe that sharing knowledge benefits both the community and the engineer creating it. Publishing code encourages better engineering practices, documentation, and long-term maintenance.

Community involvement

Beyond software development, I enjoy contributing to technical communities.

I’ve participated in Ubuntu Colombia, FLISoL, Forest Software Community, and other initiatives focused on free and open-source software.

These experiences have allowed me to organize events, mentor developers, coordinate technical projects, and promote collaborative learning.

Community work has strengthened my leadership, communication, and project management skills while reinforcing the importance of knowledge sharing.

Career highlights

Throughout my professional career I’ve worked across multiple industries, including enterprise software, blockchain, artificial intelligence, consulting, and developer platforms.

My experience includes:

Most recently, my work has centered around AI infrastructure and intelligent developer workflows at DailyBot, where I contribute to products that integrate language models into real-world business applications.

How I work

I enjoy collaborating with product managers, designers, and engineers to transform ideas into production systems.

I value ownership, curiosity, and continuous learning.

When approaching a new problem I typically:

  1. Understand the business problem.
  2. Design a simple architecture.
  3. Build an iterative solution.
  4. Measure performance.
  5. Refine based on real usage.

This iterative process helps avoid premature optimization while keeping software adaptable as requirements evolve.

Current interests

Today my primary interests include:

I’m particularly interested in making artificial intelligence more useful for software engineers through practical tooling rather than abstract research.

Looking ahead

My long-term goal is to continue building products that combine artificial intelligence, cloud infrastructure, and open-source software to solve meaningful problems.

Whether contributing to commercial platforms, leading technical initiatives, or publishing independent projects, I aim to create software that remains useful, maintainable, and accessible to developers around the world.