Gowtham Ramesh is an applied research scientist with a decade of experience building and deploying NLP and speech systems across industry and academia, now working on RL post-training, LLM pretraining/finetuning, and synthetic data generation at AMD. He holds a Master's in Computer Science from UW–Madison and has led research on retrieval-augmented QA, multilinguality, and efficient NLP models with labs at UW, Google, AI4Bharat, and IIT Madras. His background spans low-resource speech and machine translation, productionized real-time ASR and conversational Q&A, and knowledge-graph-driven enterprise search—skills that bridge prototypical research and scalable engineering. Gowtham often focuses on multilingual, knowledge-intensive tasks and efficiency, bringing practical deployment experience (Kubernetes real-time decoding) to cutting-edge LLM workflows. Notably, his trajectory includes both large-scale data projects and hands-on model engineering, making him adept at turning academic ideas into production-ready systems. Based in San Jose, he combines strong research collaborations with industry impact across speech, translation, and retrieval-centered NLP.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Wisconsin-Madison
Bachelor of Technology (B.Tech.), Production, 9.41 / 10, Bachelor of Technology (B.Tech.), Production, 9.41 / 10 at National Institute of Technology Tiruchirappalli
Contributions:3 PRs, 12 pushes, 4 branches in 2 years 10 months
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Gowtham Ramesh - Applied Research Scientist at AMD