Jishnu Chowdhury is a Senior AI Research Engineer at Bloomberg with a PhD in Computer Science from the University of Illinois Chicago and nine years of experience in ML, NLP, and AI. He has driven research from idea to publication on topics like keyphrase generation, recursive neural architectures, and augmenting Transformers with recurrence and Mixture-of-Experts, with papers at top venues including NeurIPS/ICML. Prior internships at Bloomberg produced a published paraphrase-generation method combining prompt tuning and retrieval-augmented few-shot examples, and he has built production-facing prototypes such as FastAPI demos for question generation. Comfortable spanning theory and applied engineering, he independently initiated multiple research directions during his PhD and has a track record of creating new datasets and evaluations for social-media and disaster-related information extraction. Based in New York, he blends academic rigor with practical deployment experience, frequently exploring contrastive and curriculum learning to improve model generalization. A detail that sets him apart is his focus on enhancing positional and recursive modeling within Transformers to push beyond standard sequence representations.
9 years of coding experience
5 years of employment as a software developer
Nava Nalanda
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Illinois at Chicago
(Transfered to University of Illinois at Chicago), Computer Science, 4.0, (Transfered to University of Illinois at Chicago), Computer Science, 4.0 at Kansas State University
Bachelor’s Degree, Computer Science And Engineering, Bachelor’s Degree, Computer Science And Engineering at Calcutta Institute Of Engineering And Management
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Jishnu Chowdhury - Senior AI Research Engineer at Bloomberg