Rajarshi Bhowmik is a Research Engineer at Bloomberg L.P. with a PhD in Computer Science from Rutgers and a decade of experience building deep neural models for language understanding and reasoning. He specializes in integrating large-scale cross-domain factual knowledge graphs into NLP systems to endow them with more human-like inference capabilities. His work blends rigorous academic research—guided by advisors Gerard de Melo and Karl Stratos—with practical engineering experience from industry internships at Nokia Bell Labs and prior roles ranging from teaching to production-focused development. At Bloomberg he translates research prototypes into scalable solutions for real-world information workflows in New York. Known for tackling complex, knowledge-intensive NLP problems, he also brings hands-on experience in unsupervised text pipelines and representation learning for heterogeneous data. Curious and methodical, he pairs strong theoretical foundations with a pragmatic bent for deploying research into production.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Rutgers University
Bachelor’s Degree, Computer Science and Engineering, 8.99, Bachelor’s Degree, Computer Science and Engineering, 8.99 at West Bengal University of Technology
Master’s Degree, System Analysis and Computer Applications, 9.61, Master’s Degree, System Analysis and Computer Applications, 9.61 at National Institute of Technology Karnataka
Contributions:28 commits, 27 pushes, 1 branch in 1 year
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