online evaluation methodologies, embedding-based ANN search, metric alignment, two-tower deep retrieval models, recommendation ranking, learning-to-rank, search systems, a/b testing, end-to-end ML pipeline ownership, collaborative filtering, personalisation

Java, Typescript, MLops, AWS, Python, Kotlin, Azure, Gcp, feature engineering, ranking models, Go, model deployment, applied machine learning, ML systems, Monitoring, CI CD pipelines, production ML infrastructure, Evaluation