Derrick C. Crawford

Build generative AI services in Python for retail customer and associate experiences. Design LLM application architecture that connects product knowledge with conversational user requests. Develop prompt evaluation workflows that surface response quality issues before production deployment. Shape cloud-native APIs for AI orchestration across retail search and customer service surfaces. Maintain observability practices for production AI services to support reliable diagnosis of model behavior. Provide technical guidance through code reviews and architecture decisions while remaining hands-on in delivery.

Built machine learning observability services in Python for teams operating production models. Developed data quality monitors that identified changes in model inputs before downstream analysis. Trained anomaly detection models over telemetry streams to highlight unusual behavior. Integrated REST APIs with model monitoring workflows, linking service events to investigation surfaces. Applied model evaluation methods to distinguish data drift from changes in model performance.

Developed machine learning pipelines in Python for large-scale commerce products. Trained ranking models from behavioral data to support product discovery across customer shopping journeys. Built feature engineering workflows that transformed event records into inputs for supervised learning. Packaged model serving code in Docker, connecting trained artifacts with production application interfaces.