Roshan Sridhar is a Senior Data Scientist with nine years of experience building production AI services for Oracle Cloud and prior NLP and deep learning work at Verisk. He specializes in applying deep neural networks to natural language processing and in automated hyperparameter optimization to accelerate model development and improve accuracy. His work has powered information extraction from unstructured electronic health records and analytics for cyber underwriting, translating research into tangible business impact. Trained in computer engineering at NYU with a background in electronics and communications, he blends academic rigor with hands-on engineering across cloud and enterprise settings. An early project from NYU’s Game Innovation Lab showcased his interest in multimodal ML—combining facial expression and speech features for recommendation systems—highlighting a broader curiosity about human-centered AI.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering (BE), Electronics and Communications Engineering, Bachelor of Engineering (BE), Electronics and Communications Engineering at Visvesvaraya Technological University
Master of Science (MS), Computer Engineering, Master of Science (MS), Computer Engineering at New York University
Contributions:4 pushes, 1 branch in 2 years 3 months
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