Rolando Estrada is a Principal Data Scientist with eight years of experience building production-grade AI systems that directly boost commercial outcomes, most recently developing an in-flight optimization tool that lifted promoted-product sales by 10–25%. He blends deep research roots—PhD work and postdoctoral projects in computer vision and continual deep learning—with hands-on product delivery across Azure, Databricks, Spark, and Python. At Catalina he introduced the company’s first LLM applications and led cross-functional Agile teams to turn research prototypes into client-facing capabilities. His academic career includes NSF-funded work on catastrophic forgetting and retinal image analysis that produced novel algorithms and clinical annotation tools, while his industry roles secured multi-million dollar DARPA/IARPA funding and a patent on memory enhancement. Comfortable translating complex ML theory into scalable pipelines, he also brings an unusual humanities background (a BA in English) that informs clear technical communication and client-facing storytelling.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Duke University
Bachelor of Arts - BA, ENGLISH LANGUAGE AND LITERATURE/LETTERS, Bachelor of Arts - BA, ENGLISH LANGUAGE AND LITERATURE/LETTERS at Louisiana State University
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