Pablo Avilés is a Data Product ML Engineer with eight years of experience building AI, ML and Big Data solutions from Costa Rica’s San José province. He blends hands-on data engineering and machine learning—spanning Python, Scala, Spark and cloud platforms—with product-focused delivery in roles from Senior Data Engineer to Lead Data Scientist. Currently driving data products at Plannatech while teaching AI and agentic/no-code workflows at FUNDATEC, he balances practitioner work with mentoring and curriculum design. His background includes founding a tech education startup and long experience in backend and infrastructure roles, giving him a rare mix of production ops, teaching, and product instincts. Pablo’s academic path in AI and Big Data is complemented by practical deployments across analytics, IoT and NLP projects, demonstrating an emphasis on turning models into usable, scalable products. Colleagues describe him as an AI specialist who consistently moves projects from prototype to production with an educator’s curiosity.
8 years of coding experience
17 years of employment as a software developer
Data Engineer Technician Computer Software Engineering, Data Engineer Technician Computer Software Engineering at Universidad Cenfotec
Tecnicatura Programa Especializado - Big Data – Introducción al uso práctico de datos masivos, Tecnicatura Programa Especializado - Big Data – Introducción al uso práctico de datos masivos at Universitat Autònoma de Barcelona
Specialization in Business Innovation with Artificial Intelligence Artificial Intelligence, Specialization in Business Innovation with Artificial Intelligence Artificial Intelligence at Tecnológico de Costa Rica
Ingenieria de Sistemas, Ingenieria de Sistemas at Universidad Católica de Costa Rica
AngularJS in patterns - this repository provides different look into AngularJS. It contains information where different design patterns are used inside the framework or any Angular application.
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