Hi, I'm Priyanka!

I am passionate about Applied Research, currently focusing on NLP. I like to structure ideas, develop and investigate hypotheses, and to build large-scale statistical, ML and DL models to comprehend causalities and reveal hidden dynamics in data.

I'm a senior Machine Learning Scientist at Microsoft Azure Cognitive Services organization. We democratize the state-of-the-art natural language research to serve customers at scale, including services for texts, documents and conversations. In my prior role, I successfully designed, built and productionalized models which helped millions of users to be more productive in Microsoft Office.

📚 MS in Computer Science from University of Washington
📚 MS in Applied and Computational Mathematics from Johns Hopkins University (in progress)

Recent product contributions

Microsoft Azure Cognitive Service for Language

Named Entity Recognition (NER) | Custom NER | Conversational Intelligence

Intelligent Microsoft Search in Office

Behavior prediction | Relevance | Ranking

Patents and publications

P Kulkarni, S Li, Y Zheng, D Le, Y Xu, S Nath, M Sanghi, J Shah, P Bhattacharya. Unified Multilingual Command Recommendation Model. US Patent App. MS# 409649-US-NP. Filed March 2021.
P Kulkarni, R Rounthwaite.Determining Lexical Difficulty in Textual Content. US Patent App. MS# 408918-US-N P. Filed October 2020.
M Kleiner, P Kulkarni, J Shah, C Anderson, B Kohlmeier. Recognizing problems in productivity flow in productivity applications. US Patent App. MS #406826-US-N P, Filed August 2019.
P Kulkarni, R Tigranovich Aghayan, L Huang, S Gupta. Misinformation Detection in Online Content. US Patent App. 16/019,898, Filed June 2018.
N Gaur, P Kulkarni, E Menezes, T Zhang. Method and framework for unconscious bias detection and it’s correction in text. Patent No. US10839153B2.
P Kulkarni, A Roux, Anomaly detection using Azure Machine Learning and Building End-to-End intelligent fraud detection systems workshops conducted for the Law Enforcement and corporate audience at the Digital Crimes Consortium 2017, Hawaii
P Kulkarni, A Ghosh, S Agrawal, MLADS 2015, OEM-Geo Based License Order Prediction, Microsoft Machine Learning Conference, March 2015
P Kulkarni, P Sethuraman, MSDN White Paper: Microsoft IT: A Case Study on “Hekaton” against RPM – SQL Server 2014 CTP1
U. Nagarsekar, A. Mhapsekar, P. Kulkarni and D. R. Kalbande, Emotion detection from “the SMS of the internet”,2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS), Trivandrum, 2013, pp. 316- 321.
P Kulkarni, DR Kalbande, N Gulrajani and S Warrier. Smartcard based Android Application for Public Transport Ticketing System. International Journal of Computer Applications 60(11):29-32, December 2012