Summary
Ross Lewis is a data and analytics leader with over a decade of hands-on experience turning complex data into scalable AI and business solutions across healthcare, finance, retail, and entertainment. Currently Director of Data & Analytics, he previously led enterprise AI pilots and MLOps initiatives at IBM, building RAG systems, vector DB integrations, and Spark-based pipelines that bridged research models to production. He combines an uncommon mix of software engineering roots ( Objective-C, C#, web stacks) with advanced quantitative training (M.S. in Econometrics from UCLA and a CS/Business BA), enabling both technical depth and commercial impact. Ross excels at translating C-suite strategy into working data products, having driven multimillion-dollar proofs-of-concept and taught Apache Spark to large audiences. He’s comfortable across the full ML lifecycle—from ETL and feature engineering in Databricks/Snowflake to LLM orchestration and API deployment—and has a track record of building lasting production systems. Based in Florida, he brings a pragmatic, education-focused approach to teams, frequently publishing and evangelizing best practices in enterprise AI.
10 years of coding experience
15 years of employment as a software developer
University of California, Los Angeles
B.A. Computer Science Business, B.A. Computer Science Business at Ripon College