Principal Applied Scientist (AI) at Amazon Web Services (AWS)
New York City Metropolitan Area United States
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Summary
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Aditya Kalyanpur is a Principal Applied Scientist at AWS AI with over two decades of experience translating cutting‑edge NLP, deep learning and neuro‑symbolic research into production products. He helped build IBM Watson’s Jeopardy! QA algorithms, led commercial deployments in healthcare and insurance, and was a founding research leader at Elemental Cognition where he shipped Cora—an LLM-plus-reasoning research assistant used by pharma and federal clients. His work focuses on hybrid approaches that combine embeddings, knowledge graphs and automated reasoning, yielding new state-of-the-art results (e.g., FOLIO and Graph-RAG research) and pragmatic hybrid-RAG systems. Comfortable both leading teams and doing hands-on engineering, he designs ML models for ontology induction, multi-hop QA and LLM-tool integrations with specialized solvers. Based in the New York City area, he pairs a PhD in AI with a track record of moving symbolic and statistical methods from lab prototypes into revenue-generating products. An often-overlooked strength is his consistent focus on evaluation and client-driven metrics, which drove Cora’s measurable gains over competitors like GPT‑4 on complex QA benchmarks.
9 years of coding experience
12 years of employment as a software developer
MS and Ph.D. Computer Science (AI), MS and Ph.D. Computer Science (AI) at University of Maryland
BE Electronics Engineering, BE Electronics Engineering at University of Mumbai
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Contributions:6 reviews, 4 PRs, 4 pushes in 1 month
pytorchnlptransformersartbert
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Aditya Kalyanpur - Principal Applied Scientist (AI) at Amazon Web Services (AWS)