Presenter

Sergey is a machine learning engineer at AI Research and Development Lab (Hewlett Packard Labs). He has worked on various projects including natural language processing (event, relation and opinion extraction, machine translation and speech recognition), benchmarking tools for deep learning workloads, and anomaly detection for industrial telemetry data coming from complex systems such as high-performance computing data centers and manufacturing facilities. Sergey has been representing Hewlett Packard enterprise in MLCommons organization - a non-profit organization promoting fair and useful deep learning benchmarks recognized by industry and academia. He has served as a co-chair in Deep Time Series working group and now serves as a co-chair in MLCube working group working on making machine learning projects portable and reproducible. Sergey currently works on automated metadata management for machine learning pipelines. He also focuses on various applications of collected metadata to optimize executions of such pipelines.