I lead the AI and Data team at EvenUp,
where we use generative AI and agentic systems to reinvent legal
tech. Before EvenUp, I led the Algorithms
team
at Instacart, applying machine learning
to e-commerce and fulfillment. Earlier, I led the Research & Applied
Science organization at WeWork, with work spanning NLP, computer
vision, robotics, data management, sensor networks, and ubiquitous
computing. Across these roles, I’ve focused on machine learning and
text understanding, including large-scale NLP pipelines for short text
and documents and data-driven semantic networks.
Experience
- VP Engineering, Head of AI, EvenUp (present)
- Editor in Chief, IEEE Data Engineering Bulletin (present)
- VP Engineering, Algorithms & Distinguished Scientist, Instacart
- VP Engineering & Distinguished Scientist, WeWork
- Director of Natural Language Processing, Amazon
- Engineering Manager and Research Scientist, Facebook
- Staff Research Scientist, Google Research
- Senior Researcher, Microsoft Research
- Research Staff Member, IBM Research
Honors
- ACM Fellow, 2025
- IEEE Fellow, 2017
- Best Paper Award, Short Text Understanding Through Lexical-Semantic Analysis, in the 31st International Conference on Data Engineering (ICDE), 2015
- ICDM 10 Year Highest Impact Paper Award, Moment: Maintaining closed frequent itemsets over a stream sliding window, in ICDM 2004
- Best Student Paper Runner-Up Award, Inverse Time Dependency in Convex Regularized Learning, in the 9th International Conference on Data Mining (ICDM), 2009
- Best Paper Award, Modeling and Querying E-Commerce Data in Hybrid Relational-XML DBMSs, in the 27th International Conference on Conceptual Modeling (ER), 2008
Blogs
Other links
- LinkedIn, Google Scholar, DBLP
- Projects I initiated and led at Microsoft Research
- Probase (a data driven semantic network for text understanding)
- Trinity (a distributed graph engine on a memory cloud)
