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 was invited to present our work on Helix (VLDB ‘19) at Google. Lots of interest in making maching learning development more agile and efficient!
Our work on enabling accelerated machine learning inference in RDBMS was presented at CIDR 2020. Paper
VLDB 19: We presented the full research paper on the Helix system that we demo’ed at VLDB 18.
Our vision paper on the data management and HCI challenges underlying AutoML was published in the IEEE Data Engg Bulletin.