Rajkumar Pujari is an Applied Scientist II at Amazon AGI with 13 years of experience bridging academic NLP research and production-scale AI, currently focused on post-training frontier LLMs and graph foundation models. He holds a PhD in NLP from Purdue, with publications at ACL/NAACL/EMNLP and DARPA CCU involvement, and has built culturally grounded pragmatic language models and multi-agent systems for assessing social media information quality. His background spans industry research internships at Microsoft Research and Alexa, quantitative research at WorldQuant, and deep-learning work at IIT Bombay, giving him a rare mix of rigorous ML, graph modeling, and applied evaluation expertise. Notably, his PhD work explored cross-cultural norm discovery across seven language-culture pairs, reflecting a practical commitment to socially aware language understanding.
13 years of coding experience
8 years of employment as a software developer
Schooling, Schooling at Geethanjali Public School
10th, Schooling, 87.4%, 10th, Schooling, 87.4% at Sainik School, Korukonda
Bachelor of Technology (Hons.), Computer Science and Engineering, 9.10/10.0, Bachelor of Technology (Hons.), Computer Science and Engineering, 9.10/10.0 at IIT Kharagpur
Doctor of Philosophy - PhD, Natural Language Processing (Computer Science), 3.8/4.0, Doctor of Philosophy - PhD, Natural Language Processing (Computer Science), 3.8/4.0 at Purdue University
High School, MPC, 96.3%, High School, MPC, 96.3% at Sri Chaitanya Junior College
Code repository for the NAACL 2019 short paper "Using Natural Language Relations between Answer Choices for Machine Comprehension"
Contributions:4 commits, 1 PR, 8 pushes in 1 year 3 months
nlpnaaclanswerrelationscomprehension
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