Delip Rao is a hands-on AI researcher and entrepreneur with over a decade of experience building state-of-the-art NLP, speech, and multimodal systems for startups, Fortune 500s, and academic labs. He has founded multiple companies and initiatives—most notably Joostware AI Research, MangoMind AI, R7 Speech Sciences, and The Fake News Challenge—bridging cutting-edge research with product delivery and industry impact. As VP of Research at AI Foundation and a Research Staff collaborator with Penn on IARPA projects, he has led teams on synthetic content generation, RAG systems, and techniques to reduce LLM hallucinations and improve explainability. His background includes research roles at Amazon (early Alexa), Twitter, and Google, and he consults on technical due diligence for top VCs, bringing investor-facing rigor to model evaluation. Author of a widely used Deep Learning/NLP book and numerous highly cited papers, he pairs academic depth with practical tooling (PyTorch, Deepspeed, HuggingFace) to ship demos and production systems. Based in New York, he’s driven by making AI feel “indistinguishable from magic” while emphasizing ethical, human-centered applications.
13 years of coding experience
17 years of employment as a software developer
Indian Institute of Technology Madras
BE Computer Science, BE Computer Science at Visvesvaraya Technological University
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
Contributions:2 reviews, 9 commits, 7 PRs in 4 years
nlppytorchtransformersbertdeep-learning
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