Summary
Rolando Tabar is an AI Automation Engineer and seasoned full-stack software developer with over a decade of experience building web and mobile systems, data pipelines, and interactive analytics for banks, government agencies, startups, and agencies. He combines hands-on expertise in JavaScript/TypeScript, React, Python, SQL, C#, Java and Scala with practical data engineering—automating ETL, scraping, and risk indicator pipelines that turned weeks of manual Excel work into minutes. At adtechnacity he engineered RAG-based assistants, vectorized search and multi-agent content generators, and helped productionize ML tooling via Pulumi and AWS ECS. He has led cross-disciplinary teams as a project lead and product owner, mentoring developers while translating domain ideas into production-grade code and visualizations. Based in Monterrey, Mexico, he treats engineering as both profession and hobby, with a strong focus on elegant, maintainable code and knowledge sharing. A quiet differentiator is his track record of integrating open-source analytics platforms and bespoke automation to surface actionable insights for non-technical stakeholders.
10 years of coding experience
12 years of employment as a software developer
Basic and Advanced English, Basic and Advanced English at Domínico Americano School
Bachelor of Engineering - BE Information Technology, Bachelor of Engineering - BE Information Technology at Universidad Iberoamericana
Spanish, English