Rishabh

Mehrotra

Research Experience

  • Microsoft Research, Redmond
    Research Intern, Measurement Sciences Team (June-Sept 2016)
    Mentors: Imed Zitouni, Ahmed Hassan
    Description: Developed terascale machine learning based solutions for understanding user interaction sequences for satisfaction prediction. Mining terabytes of logs for developing task based satisfaction metrics.
  • Microsoft Research, New York
    Research Intern, Machine Learning Group (March-June 2016)
    Mentors: Fernando Diaz
    Description: Developed techniques for auditing search engines for demographic bias in performance.
  • Microsoft Research, Redmond
    Research Intern, CLUES Group (June-Sept 2015)
    Mentors: Susan Dumais, Paul Bennett
    Description: Responsible for designing and developing terascale machine learning based solutions for cross-domain personalization. Mining terabytes of user logs to derive insights for personalization.
  • Microsoft Bing, London
    Applied Scientist Intern, Related Searches Team (April-June 2015)
    Mentors: Abhishek Arun, Katja Hofmann
    Description: Developed techniques for counterfactual estimation of online metrics.
  • Goldman Sachs, Bangalore
    Techology Analyst Reference Data Team
    Description: DDeveloped Regression Testing framework for an event-driven SOA based framework.
  • Research Assistant (Jan'12 - May'12)
    Prof. Prof. Shan Balasubramaniam, CSIS, BITS Pilani.
    Working on the project Unsupervised Knowledge Base construction. Completed the implementation of Focused Crawler. Working towards building the knowledge base from the crawled data.
  • Project Assistant (June'11-July'11)
    Mentored by Dr.M. Chaudhary, Microsoft Research India.
    Worked on the project Unsupervised Function Word detection in Unknown Language as part of 3rd Advanced Summer School in NLP (IASNLP 2011). We used various statistical techniques to come up with a set of function words in any new unknown language and compared our results with the standard gold set.
  • Research Assistant (Jan'11-May'11)
    Dr. AS Mandal, Scientist F, Head, Cognition & Perception Lab, Central Electronics Engineering Research Institute (CEERI), Pilani.
    A neural self organization based method with linear complexity and linear memory requirements was developed for generating Steiner Minimal Tree in 3D space, both rectilinear and Euclidean. Resulting paper accepted at EMS 2011.
    [Snapshot1] [Snapshot2]
  • Project Assistant (May'10-July'10)
    Dr. KE Ravikumar, PhD NaturalLanguage Processing, NLP Division, InsideView Technologies.
    Mr. Sudarshan Vig, Lead, Content Engineering, InsideView Technologies.
    My work involved extracting news article using NUTCH crawler and then applying text processing to dynamically extract Organization and executives names from the news article.