San Francisco Bay Area
I’m a technology leader and engineer with deep experience in databases, data management systems, and AI. Currently a Principal Engineer at Snowflake, I’ve previously built and scaled systems at AWS, Cloudera, and Microsoft. My work centers on solving complex data challenges, bridging research and product, and turning technical innovation into practical impact. I hold a PhD in Computer Science from the University of Toronto and am passionate about building systems that are both rigorous and useful at scale.
2026 - current: Working on making SQL cool again :) 2024 - 2026: Worked on Cortex AISQL (https://arxiv.org/abs/2511.07663). 2020-2024: Worked on Unistore query processing (https://www.snowflake.com/en/data-cloud/workloads/unistore/).
AWS Redshift. Member of the query processing team.
Worked on Apache Impala.
Worked on a data integration platform for semi-structured data.
Worked in SQL Server in-memory OLTP engine (Project Hekaton). Investigated the performance and scalability of Hekaton's core execution engine on non-uniform memory access (NUMA) hardware architectures. Implemented unique constraints in Hekaton's hash-based indices. Conducted research in workload partitioning techniques for parallel database systems.