Summary
Christopher Sweet is a Senior Manager in Data Science with 11 years of experience building production ML and data platforms and leading geographically distributed teams. He has progressed from vehicle telematics and remote sensing roles into architecting MLOps, model deployment standards, and LLM pilots at Hagerty, pairing hands-on engineering (Airflow, Snowflake, Metaflow, BentoML, AWS) with people leadership. He’s delivered practical systems—from fleet anomaly detection to multi-touch marketing attribution—and runs internal training programs to upskill colleagues in Python and ML. Based in Rochester, NY, he also applies an entrepreneurial mindset to side projects like a bootstrapped automotive photography business, reflecting a knack for storytelling and product-minded thinking beyond pure engineering.
11 years of coding experience
8 years of employment as a software developer
Bachelors and Masters Of Science Computer Engineering, Bachelors and Masters Of Science Computer Engineering at Rochester Institute of Technology