Sadhana Kumaravel is a Research Engineer at IBM Research AI with 10 years of experience building semantics-driven NLP and reinforcement learning systems. She specializes in document AMR and semantic parsing, knowledge-base retrieval, and question answering that combines deep learning with symbolic semantics and alternating minimization techniques. Her work at IBM and earlier at T.J. Watson focused on leveraging Abstract Meaning Representation to distinguish answer-bearing text and construct knowledge graphs that improve QA precision. With a Master’s in Computer Science from Stony Brook and a background in combinatorial graph theory from academic research, she blends theoretical rigor with applied AI research. Based in the New York City area, she brings a rare mix of semantic parsing expertise and practical system-building at the intersection of knowledge representation and ML.
10 years of coding experience
Bachelor’s Degree, Computer Science and Engineering, Bachelor’s Degree, Computer Science and Engineering at SRM University
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Stony Brook University
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Sadhana Kumaravel - Research Engineer, AI Foundations