Summary
Chris Lebailly is a Senior Machine Learning Engineer with 12 years of experience applying ML, NLP, and data engineering to real-world products, currently building ML systems at Bolster in Chicago. He has a strong math background (M.S. in Mathematics) and blends theoretical rigor with practical engineering—authoring pip-installable packages, optimizing feature pipelines (achieving ~50x speedups), and deploying APIs and services on Kubernetes. His NLP work spans topic modeling (LDA), custom word2vec embeddings, NER, and semantic search, while his data engineering experience includes AWS ETL pipelines, Apache Storm, and productionizing embedding-based sourcing engines. Notably, he has built scalable scraping and matching systems that processed hundreds of millions of records and turned research prototypes into customer-facing apps. Colleagues rely on him to translate statistical models into production-ready, performant systems that directly improve hiring and analytics products.
12 years of coding experience
8 years of employment as a software developer
B.A. Mathematics Music, B.A. Mathematics Music at Grinnell College
University of California Santa Cruz
English