Short Bio

I love solving real-world problems with code, data, and technology. My current professional focus lies in building data-driven solutions, from running experiments to production, following software engineering best practices to ensure quality attributes such as maintainability, scalability, and robustness.

Experience in diverse projects encompassing:

• Software development
• Requirements engineering
• Machine learning engineering
• Data science
• Information security

I also enjoy writing technical articles 📝 that are published in top-tier computer science conferences and journals, covering topics such as:

• Security-related aspects in agile requirements specifications of web applications
• Concerns for specifying and designing machine learning systems
• Agile research and development approach for digital transformation
• Interaction between software engineers and data scientists in machine learning projects
• Impact of SOLID design principles on machine learning code understanding
• Requirements engineering for machine learning

Recently, I co-authored a book (in Portuguese) 📕 about software engineering for data science. This publication has assisted over 1k practitioners in building Python-based machine learning systems, adhering to software engineering best practices.

Outside of work, you will often find me staying active in various ways! 😃 Whether it's:

• Hitting the pavement for a run (recently smashed a half marathon in 1:46! 🥇🏃‍♂)
• Trekking up mountains around the world 🏔️
• Kicking a ball around on the football pitch (I fancy myself in a midfielder position) ⚽️
• Indulging in some enlightening documentaries 📽️🌄

Feel free to contact me if you believe I can contribute to the objectives of your organization or if you are a researcher seeking collaboration.

Departament of Informatics PUC-Rio
Rua Marquês de São Vicente 225, 22451-900, Gavea, Rio de Janeiro, RJ, Brazil
  hvillamizar@inf.puc-rio.br
  ricardo910821@gmail.com