Dheeraj Rajagopal is an AI researcher-engineer with 14 years of experience specializing in knowledge-based and machine learning approaches to natural language processing. He holds advanced degrees from Carnegie Mellon and has transitioned academic research into industry roles at DeepMind, Fastino, and now xAI working on pretraining systems. His background includes building commonsense knowledge extraction and reasoning systems for government and education projects, and practical NLP modules like sentiment analysis and document categorization. Comfortable spanning research and production, he has repeatedly shipped unsupervised and supervised NLP solutions evaluated on downstream tasks. Based in Seattle, he combines a strong PhD-level foundation with hands-on engineering velocity across startups and research labs. An understated strength is his long track record of turning commonsense reasoning ideas into deployable components that improve real-world language understanding.
14 years of coding experience
12 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Vellore Institute of Technology
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Carnegie Mellon University
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