Summary
Venkata Govindarajan is an Assistant Professor of Computer Science at Ithaca College and an NLP researcher with nine years of experience bridging academic rigor and industry impact. He specializes in modern and classical NLP methods, from pretraining and finetuning LLMs to RLHF, synthetic data pipelines, and bias detection in language models, with recent EMNLP publications on intergroup bias and synthetic data diversity. His background includes applied science internships at Amazon and The New York Times where he built practical systems for data-drift detection and engagement modeling, and a PhD in Linguistics from UT Austin focused on computational analyses of bias and pragmatic behavior. Venkata designs and teaches modern NLP curricula that translate research topics (chain-of-thought, tool-calling, evaluation) into hands-on coursework and mentors students on GPU programming and domain-specific language projects. He thrives in ambiguous, cross-disciplinary settings, turning careful annotation, counterfactual probing, and synthetic-data strategies into actionable insights for product and research teams. An early-career detail that often surprises collaborators: his academic trajectory began in biological/biosystems engineering at IIT Madras, giving him a quantitative, systems-oriented perspective on language problems.
9 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Madras
Doctor of Philosophy - PhD, Linguistics, Doctor of Philosophy - PhD, Linguistics at The University of Texas at Austin
Master of Science - MS, Computational Linguistics, Master of Science - MS, Computational Linguistics at University of Rochester