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
1 year of employment as a software developer
One Year Transfer in Computer Science, Computer Science, One Year Transfer in Computer Science, Computer Science at De Anza College
High School Diploma, High School Diploma at Ann Sobrato High School
Bachelor of Science - BS, Statistics and Data Science, Bachelor of Science - BS, Statistics and Data Science at UC Santa Barbara
English, Chinese, Spanish, Japanese