Summary
Kayleigh Migdol is a founder and software engineer with 11 years of experience building production ML systems and developer-facing infrastructure in the San Francisco Bay Area. She founded NextBest AI to surface personalized product recommendations across the web after leading AI governance and model/data understanding at TikTok, where she built pipelines to classify thousands of models and catalog hundreds of millions of files for compliance with EU regulations. At Snap she owned integration and regression testing for company-wide TensorFlow model training, migrated core libraries to Keras, and designed recommendation systems and data pipelines used across creative tools and ad ranking. She combines hands-on backend engineering (Go, Spark, SQL) with machine learning expertise from a BS in Statistics and Machine Learning at Carnegie Mellon. A pragmatic leader, she has repeatedly turned vague compliance and quality requirements into automated systems that saved engineer-hours and reduced risk. Outside work she’s shown early interest in mentoring and community building, founding an employee resource group that supported 200+ members.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Applied Mathematics and Computer Science (Not Completed), Bachelor of Science - BS Applied Mathematics and Computer Science (Not Completed) at Humboldt State University
Bachelor of Science - BS Statistics and Machine Learning, Bachelor of Science - BS Statistics and Machine Learning at Carnegie Mellon University
High School Diploma, High School Diploma at Leigh High School
English