Dwi Mansjur
Applied Mathematician
Cary, North Carolina, United States
Summary
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Senior🎓
Top SchoolDwi Mansjur is an applied mathematician with nine years of experience applying machine learning, statistical pattern recognition, and NLP to large-scale information extraction and question answering systems. He currently develops algorithms for the U.S. Securities and Exchange Commission, focusing on extracting insights from unstructured text, pattern discovery in big structured data, and knowledge representation for intelligent agents. Previously he spent eight years at IBM working on DeepQA and high-performance NLP and knowledge-base extraction, contributing to systems that powered Jeopardy-caliber question answering. Holding a Ph.D. in Electrical and Computer Engineering from Georgia Tech, he blends rigorous academic foundations with production-focused algorithm engineering. Colleagues rely on him for turning complex language and knowledge problems into scalable, computationally efficient solutions.
9 years of coding experience
14 years of employment as a software developer
Minnesota State University, MankatoPh.D., Electrical and Computer Engineering, Ph.D., Electrical and Computer Engineering at Georgia Institute of TechnologySutomoProgramming languages (2)
Github contributions (5)
dwisianto/nlp_dataset_clinical_notes
May 2019 - May 2019
Contributions:2 commits, 1 push, 1 branch in 1 day
dwisianto/do-gh-io-bak2021-03
Jun 2017 - Oct 2022
Contributions:7 PRs, 414 pushes, 5 branches in 5 years 5 months
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