Summary
Ryan Yee is a Data Quality Analyst and AI-focused software engineer with 11 years of experience building production data systems that prioritize reliability, auditability, and reduced manual ops. Based in San Francisco, he has shipped end-to-end pipelines—from automated industry categorization and conversion-event validation to AI-assisted traffic review and a behavior-preserving migration of an anomaly detector—while embedding human-in-the-loop controls and monitoring. He blends applied ML, embeddings/RAG, and backend engineering (PyTorch, TensorFlow, Flask, cloud vector DBs) to productionize AI agents and enterprise knowledge platforms. A former research collaborator on oceanographic acoustics, he developed novel image/spectrogram preprocessing techniques that cut training time in half, showing a knack for turning messy, large-scale data into usable signals. Ryan is building a broad suite of AI assistants (from CPA exam prep to K–12 tutors and synthetic data generators), reflecting both product curiosity and a practical drive to automate tedious workflows.
11 years of coding experience