I lead the Shopping Content Understanding team at Microsoft AI. My team builds data-centric features for Microsoft Edge Shopping and Microsoft Autos Marketplace. I obtained my Ph.D. in Computer Science from Purdue University. Before joining Microsoft, I was a Staff R&D Engineer at IBM, working in the areas of Machine Learning, Natural Language Processing, and Machine Translation. My current focus is to leverage artificial intelligence to create intelligent and adaptive solutions that deliver value to users.
Research Interests
- Artificial Intelligence
- Knowledge Graphs
- Data Management
- Data Integration
Updates
- October 2023: My team shipped “Microsoft Autos AI Assistant”, a feature that provides LLM-based assistance for auto shoppers.
- April 2022: My team shipped “My Garage”, a feature that aggregates all the information about a user’s vehicle in one place.
- July 2022: Joined Microsoft Autos Marketplace leadership team as a manager and created the autos content understanding team.
- May 2022: My team shipped “Automotive Q&A”, a feature that brings value to buyers in their autos journey as well as to everyday users.
- March 2022: Joined Microsoft Autos Marketplace as a Data & Applied Scientist Tech Lead.
- May 2021:: Gave a talk titled “Entity Life Cycle In Search-Centric Knowledge Graphs” in the Knowledge Graph Conference 2021 (KGC 2021).
- January 2019: Our paper titled “BioNetApp: An Interactive Visual Data Analysis Platform for Molecular Expressions” has been accepted in PLOS-ONE journal.
- January 2019: Joined Microsoft as an Applied Scientist.
- December 2018: Successfully defended my thesis dissertation titled “Efficient Query Processing Over Web-Scale RDF Data”.
- October 2018: Posted slides for “WORQ: Workload-Driven RDF Query Processing”.
- June 2018: Posted slides for “SPARTI: Scalable RDF Data Management Using Query-Centric Semantic Partitioning”.
- June 2018: Posted slides for “TrueWeb: A Proposal for Scalable Semantically-Guided Data Management and Truth Finding in Heterogeneous Web Sources”.
- May 2018: Our paper titled “WORQ: Workload Driven RDF Query Processing” has been accepted in International Semantic Web Conference (ISWC 2018).
- Apr 2018: Our paper titled “TrueWeb: A Proposal for Scalable Semantically-Guided Data Management and Truth Finding in Heterogeneous Web Sources” has been accepted in Semantic Big Data (SBD18) at SIGMOD 2018.
- Apr 2018: Our paper titled “SPARTI: Scalable RDF Data Management Using Query-Centric Semantic Partitioning” has been accepted in Semantic Big Data (SBD18) at SIGMOD 2018.
- Apr 2018: Giving two lectures at Purdue titled: “Introduction to Semantic Web Databases”.
- Feb 2018: Joined Microsoft Knowledge Graph (Satori) as a Data & Applied Scientist Intern for Summer 2018.
- Apr 2015: Joined Microsoft Research as a Research Intern for Summer 2015.