Summary
Shane Kercheval is a Principal Engineer and DS/ML leader with 15+ years blending data science, software engineering, and product management to solve growth, sales, and operational problems. He builds production-ready ML systems and evaluation frameworks—publishing open-source tools for LLM and agent evaluation—and has led cross-functional launches like Anaconda Assistant from MVP to product. His strengths include causal inference, Bayesian forecasting, A/B test design, and NLP techniques (embeddings, tokenization, semantic search) applied across Snowflake/Redshift, Airflow, and containerized deployments. At Okta/Auth0 he drove ML solutions that cut vendor costs and improved sales forecasting accuracy by double-digit percentages, while instilling software engineering best practices for data teams. Comfortable moving between hands-on code (Python/R/SQL, C#/C++) and strategic product decisions, he pairs an MBA-finance background with deep technical curiousity—evident in his public eval frameworks and a GitHub ethos of “love to learn new things.”
10 years of coding experience
15 years of employment as a software developer
Master of Business Administration (MBA), Finance, Master of Business Administration (MBA), Finance at Eastern Washington University