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. I am currently working on a no-code automated machine learning system with a serverless backend that enables seamless collaboration between the human and the machine.
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.
I was invited to present our work on Helix (VLDB ‘19) at Google. Lots of interest in making maching learning development more agile and efficient!