Springfield, Massachusetts Metropolitan Area United States
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Summary
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Senior
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Top School
Dhruvesh Patel is a PhD candidate and machine learning researcher with ~8 years of experience spanning robotics, software engineering, and NLP, currently focused on geometric deep learning for language and knowledge graphs at UMass Amherst. He blends theory and product experience—from developing non-Euclidean representation models and integrating KGs into end-to-end neural systems to shipping production ML products like a high‑scale time-series prediction service used by thousands. His internships at Meta, IBM, and Abridge and long-term work at IESL reflect a track record in multimodal planning, accelerated text generation, and clinical information extraction. Earlier industry roles at Kenome and MathWorks sharpened his systems and deployment skills across Python, TensorFlow/PyTorch, C++ and production tooling. Dhruvesh’s research direction is notable for marrying geometric inductive biases (e.g., box spaces) with explainable, data-efficient learning—an approach that aims to make deep models more instructable and interpretable. Based in the Springfield, MA area, he thrives at the intersection of principled research and practical engineering.
8 years of coding experience
4 years of employment as a software developer
Bachelor + Master of Engineering (Dual Degree), 8.36, Bachelor + Master of Engineering (Dual Degree), 8.36 at IIT Madras
high school, schooling, high school, schooling at Baroda high school ONGC
Master of Science - MS, Computer Science, 4/4, Master of Science - MS, Computer Science, 4/4 at University of Massachusetts Amherst
Structure Prediction Baselines Using AllenNLP. Implements baselines for tasks like POS tagging, NER and SRL.
Contributions:1 release, 43 reviews, 182 commits in 1 year 9 months
nlpposnerpos-taggingprediction
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