Summary
Antonio Quinonez is a seasoned data and program engineering professional with nine years of focused experience building analytics, ETL, and AI-tracking systems across enterprises like Meta, Pfizer, Microsoft, and NetApp. He blends hands-on modern development (Python, GCP BigQuery/Cloud Functions, Jupyter) with program and project management skills in both Agile and Waterfall environments, delivering production dashboards, observability, and data-driven business solutions. At Meta he produced signal-detection pipelines for generative AI trends; at Pfizer and New Engen he led complex data integration and customer segmentation work supporting sales and marketing operations. As a solo practitioner he’s architecting ARBES, a table-driven declarative AI orchestration paradigm and producing provisional patents and technical collateral that bridge product and engineering. An active open-source contributor and technical writer, he has maintained Raku language documentation and resolved cross-branch merge complexities—an indication of both code-level fluency and attention to developer experience. Based in Woodinville, WA, he pairs literary training (Princeton BA in Comparative Literature) with technical craft, giving him a knack for clear technical communication and documentation.
9 years of coding experience
22 years of employment as a software developer
BA, Comparative Literature, BA, Comparative Literature at Princeton University
Spanish, English