Summary
Luis Cardenas is an AI engineer and computational scientist with eight years of experience building data-driven systems that bridge research and production. Currently at VideoAmp, he designs gRPC-backed services, orchestrates ETLs with Temporal, and leverages Databricks LLMs and Snowflake to turn raw metrics into actionable viewership insights, including a ninefold speedup of national-level computations using Scala and Spark. His background includes a PhD in Computer Science from UC Santa Barbara where he applied neural networks to level-set methods and ran large-scale fluid dynamics experiments on TACC supercomputers, reflecting a strong foundation in scientific computing. Comfortable across the stack—from frontend work and full-stack projects early in his career to production ML pipelines—he also brings teaching and research experience that sharpens his ability to validate metrics and refine prompts for robust LLM behavior. An often-overlooked strength is his track record of translating academic methods into production analytics and tooling that directly inform ad measurement and reporting.
8 years of coding experience
10 years of employment as a software developer
High School, High School, 100, High School, High School, 100 at University of Guadalajara, Regional High School at Tecalitlan, Jalisco
Doctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at UC Santa Barbara
Bachelor's Degree, Computer Systems, 99.5, Bachelor's Degree, Computer Systems, 99.5 at Technological Institute of Ciudad Guzman
Master's Degree, Computer Science, Master's Degree, Computer Science at University of California, Los Angeles
Spanish, English, Korean