Mark Jarrell is a Senior Machine Learning Engineer with 14 years of experience building and productionalizing ML systems, currently driving realtime and batch model deployments at Credit Sesame in Mountain View. He combines strong data engineering chops—Redshift, ETL, Airflow—and software engineering fluency in Python, Ruby, Java to create dockerized model runtimes that allow third parties to upload and serve models safely and performantly. Prior roles include designing data warehouses and operational analytics at CustomInk and implementing enterprise integrations at Verizon, giving him a pragmatic view of ML in production and the downstream business needs it supports. A Rutgers computer science graduate pursuing an MS in Analytics at Georgia Tech, he pairs academic rigor with hands-on systems work, and is known for building testing frameworks and best practices that make models fast enough for critical paths like login.
14 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Analytics, Master of Science - MS, Analytics at Georgia Institute of Technology
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Rutgers University
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Mark Jarrell - Senior Machine Learning Engineer at Credit Sesame