Jayaprakash Sundararaj
At Google, Jayaprakash worked on Web Search Ranking, Android SysUI and Intelligence , and Google Play Store Search and Suggest. He completed his Masters in Computer Science and Engineering at IIT Bombay , where he was advised by Pushpak Bhattacharya .
Email / Linkedin / Resume / Google Scholar
Expertise
- Areas: Natural Language Processing, Machine Learning, Artificial Intelligence, Information retrieval
- Programming: C++, Kotlin, Python
- Frameworks: Tensorflow, MapReduce (~Spark), BigTable/SSTable (~HBase/Cassandra), Protobuf (Data Serialization)
News
- [2024] Launching new Search Home in Google Play Store. This work is covered in:
- [2022] Launching On-Device-Search in Pixel Phones. This work is covered in:
- [2021] Launching Smart-Folder Suggestions in Android Home Launcher.
- [2019] Launching Fact-checking articles in Google News. Covered in:
- [2014] Joined Google Search (Core Ranking) Team to work Query and Document Understanding.
- [2013] Internship at Yahoo, Inc. I worked on improving image understanding, which was to improve Image Search results.
- [2013] Participating and Winning Yahoo, HackU ( timesofindia.com )
- [2012] Joined IITB (with specialization on Natural Language Processing, Information Retrieval, Machine Learning)
Education
I studied M.Tech (Computer Science and Engineering) at IIT Bombay from 2012 to 2014. Following graduation, my studies concentrated mostly on NLP, ML, and information retrieval. In addition, I was given the opportunity to intern with the Yahoo! Multimedia Team, where I worked on enhancing ‘Image Search Relevance’.
I took the following courses from IITB:
- Machine Learning
- Advanced Machine Learning (focused on Probabilistic Graphical Models)
- Natural Language Processing
- Topics in Natural Language Processing (focused on Statistical Machine Translation)
- Artificial Intelligence
- Web Mining
- R&D - Semantic Web
- R&D - Sub-modular functions in Text Summarization
- Probabilistic Models
- Innovation and Entrepreneurship
I also served as a Teaching Assistant for following courses:
- Machine Learning
- Natural Language Processing
- Artificial Intelligence
- Distributed Systems
Publications
- [2015] J Jayanth, J Sundararaj, P Bhattacharyya, Monotone submodularity in opinion summaries, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing.
- [2015] J Sundararaj, J Jayanth, P Bhattacharyya, Opinion Summarization using Submodular Functions: Subjectivity vs Relevance trade-off, 16th International Conference on Intelligent Text Processing and Computational Linguistics.
- Won ‘Best Verifiability, Reproducibility, and Working Description award’
- [2014] J Sundararaj, P Bhattacharyya, Document Summarization with applications to Keyword extraction and Image Retrieval, Indian Institute of Technology, Bombay
- [2013] Survey on Semantic Search Techniques, Indian Institute of Technology, Bombay
- [2013] Technical Paper on Kappa Score - Interrater Annotation Agreement, Indian Institute of Technology, Bombay
Miscellaneous
- Reviewer for:
- International Conference on Computer, Information and Telecommunication Systems (CITS) 2024
- International Conference on Artificial Intelligence: Theory and Applications (AITA) 2024
- Technical Programe Committee & Reviewer for:
- IEEE World Conference on Applied Intelligence and Computing (AIC) 2024
- Judge and Reviewer for 19th Annual Globee Awards for Technology 2024
- Area Director, Toastmaster 101 District, USA
- Fellow of IETE.
- Senior Member of Senior IEEE.
- Organized COLING (Computational Linguistics 2012) International Conference held at IIT Bombay. 2012
Gallery
Best Outgoing Student Award |
Yahoo HackU Hackathon at IIT Bombay |
Recognition during Internship at Yahoo Inc, Image Search Team |
Yahoo HackU Hackathon at IIT Bombay |
Convocation @ IIT Bombay |
Yahoo Labs - Summer School on Semantic Web |