Principal Software Engineer | Informatica | Madison, Wisconsin, United States

I have been a Principal Software Engineer (Machine Learning) at Informatica since August 2020 and led the data integration research and development effort in the AI/ML research group on problems such as record linkage (entity matching, deduplication, etc.), schema matching, and named entity recognition. I lead a team of 6 machine learning engineers where goal is to push the data integration efforts into Informatica products like MDM, Claire engine, etc. Prior to joining Informatica, I received my Ph.D. in Computer Sciences at the University of Wisconsin – Madison under Professor AnHai Doan where I focused on the problem of entity matching. During my Ph.D., I built a system “CloudMatcher” – a cloud-based service to do entity matching. This system was deployed and used for many real-world customers. As a result, I was fortunate to receive two awards 1) ACM SIGMOD research highlight award and 2) CACM research highlight award. My thesis work got significant commercial interest and as a result, I co-founded GreenBay Technologies, Inc. in 2019 which was later acquired by Informatica in 2020. My research interests span the areas of data integration, data management, entity matching, machine learning, and crowdsourcing. I have been an author of 10+ academic publications (https://scholar.google.com/citations?hl=en&user=KF6-xooAAAAJ). In terms of professional reviewing services, I have been a reviewer for some of the top ACM conferences in databases such as VLDB (2020), SIGMOD (2020, 2022, 2023), EDBT (2021, 2023), HILDA (2019), DI2KG (2020), JDIQ (2021), CODS-COMAD(2021, 2022), and SysML (2019). In total, I have 10+ years of industry experience in software development with various multi-national and Fortune 500 companies. My work has been published, followed, and implemented into various products that are being used globally.