Kinjal Basu

Research Scientist at IBM

Dallas, Texas, United States
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Summary

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Senior
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Top School
Kinjal Basu is a research scientist and PhD candidate in Artificial Intelligence at UT Dallas with eight years of experience applying AI, NLP, and commonsense reasoning to real-world problems. Currently at IBM after a progression from research and teaching roles at UT Dallas, he blends rigorous academic research (4.0 GPA across MS/PhD) with production-minded engineering—evident from internships where he built a scalable fuzzy duplicate-user detector for Intuit and NLP tooling. His background spans rule-based language processing (Bengali Sandhi systems) to modern ML and commonsense reasoning, showing versatility across symbolic and statistical approaches. Kinjal is comfortable shipping systems in Java, Python/NLTK, and enterprise stacks, and brings a knack for turning research ideas into optimized, production-ready algorithms.
code8 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy - PhD, Artificial Intelligence, 4.0, Doctor of Philosophy - PhD, Artificial Intelligence, 4.0 at The University of Texas at Dallas
bookBachelor of Technology (B.Tech.), Information Technology, 9.08/10, Bachelor of Technology (B.Tech.), Information Technology, 9.08/10 at Institute Of Engineering and Management

Programming languages (1)

Python

Github contributions (5)

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kinjalbasu/AQuA

Mar 2019 - Mar 2020

Contributions:43 commits, 2 pushes in 1 year
sb0612/CASPR

Jun 2019 - Mar 2020

Contributions:8 commits, 6 pushes, 1 branch in 9 months
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Kinjal Basu - Research Scientist at IBM