Summary
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.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, 4.0, Doctor of Philosophy - PhD, Artificial Intelligence, 4.0 at The University of Texas at Dallas
Bachelor 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