I'm a final-year PhD student in Computer Science at UC Berkeley, advised by Professor Aditya Parameswaran. My research focuses on developing software solutions for facilitating machine learning and data analytics. I developed Helix to accelerate machine learning model development through intelligent materialization and reuse of intermediate results.
Our paper “Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities” has been accepted at SIGMOD ‘21!
We presented our work “Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development” virtually at HILDA 2020. Slides.
Our work titled “Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development” has been accepted as a full paper and will be presented virtually at HILDA 2020.