Summary
Jeremy DiBattista is a founding machine learning engineer and technology leader with nine years of experience turning deep learning and analytics research into mass-market data products. He has led cross-functional teams to build production ML systems—spanning ETL, Snowflake/DBT pipelines, real-time bidding models, and proprietary NLP ensembles—that materially improved revenue attribution and content SEO for ad-tech and publishing platforms. At Bronson he now applies generative AI and NLP to transform legal discovery and litigation workflows, bridging domain expertise with scalable ML engineering. A Georgia Tech alumnus and former graduate head TA, he combines hands-on model development with curriculum design and mentorship, and has been recognized for technical writing on NLP. Notably, he built a first-of-its-kind boosting model that achieved 97%+ accuracy for ad event attribution and an algorithm widely used to value college athlete name/image/likeness deals—illustrating his knack for practical, industry-defining ML innovations.
9 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science (Machine Learning), Master's degree Computer Science (Machine Learning) at Georgia Institute of Technology
Minor in Computing & Business, Minor in Computing & Business at Denning Technology & Management Program