Chulaka Gunasekara
Staff Research Scientist at IBM Research
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolChulaka Gunasekara is a Staff Research Scientist at IBM Research with over a decade of experience bridging NLP research and production AI systems. He specializes in generative, content-grounded conversational agents and led a global team to build a conversation summarization system that became a core part of IBM’s Agent Assist product. With a PhD in Computer Science focused on social network analysis and a background in dialog-state modeling using Bayesian methods, he combines rigorous research methods with practical engineering delivery. Based in the New York City area, he’s known for turning complex conversational data into actionable insights and for mentoring cross-disciplinary teams to deploy research into real-world agents. An early career foundation in teaching and software engineering gives him a rare blend of academic depth and hands-on product focus.
10 years of coding experience
1 year of employment as a software developer
B.Sc Engineering (Hons.) in Computer Science and Engineering, Computer Science, B.Sc Engineering (Hons.) in Computer Science and Engineering, Computer Science at University of MoratuwaGCE A/L, Physical Science Stream, GCE A/L, Physical Science Stream at Ananda CollegePhD in Computer Science, Social Network Analysis and Mining, PhD in Computer Science, Social Network Analysis and Mining at Syracuse University
Sinhalese, English
Github Skills (12)
dialogue-systems9
encoder-decoder6
encoder6
decoder6
machine-learning5
machine-translation3
tensorflow3
seq2seq2
python1
dialog1
conversation1
database1
Programming languages (1)
Github contributions (5)
dstc8-track2/NOESIS-II
Jul 2019 - Oct 2019
Webpage for the DSTC8 - NOESIS II: Predicting Responses
Contributions:11 commits, 3 PRs, 10 pushes in 3 months
end-to-endmachine-learningdialogue-systemsnoesiswebpage
IBM/dstc-noesis
Jun 2018 - May 2019
dstc7-noesis
Contributions:31 commits, 6 PRs, 33 pushes in 11 months
end-to-endnoesisdialogue-systems
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