Summary
Sarah Floris is a data scientist and MLOps leader with 9 years of experience building scalable ML and analytics infrastructure across cloud and on-prem systems. She has driven company-wide ML strategy and production deployments—from Databricks and Spark pipelines to real-time low-latency inference—delivering measurable business impact such as multi-million-dollar pricing optimizations and 1,080+ weekly hours saved via LLM integrations. Equally comfortable with hands-on engineering and strategy, she standardizes CI/CD, observability, and reproducible pipelines that cut release cycles from months to days. Her background in theoretical and computational chemistry informs a rigorous, experimental approach to feature engineering, dimensionality reduction, and model validation. As a founder and advisor, she writes and mentors on ML infrastructure best practices and has repeatedly reduced costs and runtime (e.g., ETL cost cut by 80%, SQL query times from minutes to under one minute). Based in Greater Seattle, she blends research-driven curiosity with pragmatic production experience to help teams scale reliable AI.
9 years of coding experience
10 years of employment as a software developer
Master's degree, Physical Chemistry (Theoretical and Computational Chemistry), Master's degree, Physical Chemistry (Theoretical and Computational Chemistry) at University of Washington
Bachelor’s Degree, Chemistry (American Chemical Society track), Bachelor’s Degree, Chemistry (American Chemical Society track) at Abilene Christian University
Spanish, Dutch, English