Summary
David Rodriguez is a Technical Lead in Berkeley with 11 years of experience building and operationalizing large-scale ML systems for cyber-security and fraud detection. He has architected end-to-end ETL and model pipelines—using MapReduce, Spark, Flink, TensorFlow, Rainier and Airflow—that serve production traffic measured in billions of events and over a billion requests per hour. At Cisco he progressed from researcher to technical lead, co-authoring multiple patent filings and deploying time-series, graph, and NLP models that identify compromised users and exfiltration at internet scale. A regular conference speaker (Black Hat, Flink Forward, Virus Bulletin) and contributor to Rainier, he blends rigorous mathematics (MS in Mathematics) with pragmatic engineering to take Bayesian and MCMC methods from research into resilient production services.
11 years of coding experience
4 years of employment as a software developer
Master's degree, Mathematics, Master's degree, Mathematics at San Francisco State University
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at University of Redlands