Dhruv Vyas is a data scientist with a Ph.D. in computer science and a decade of experience bridging academic research and industry to build practical ML-driven systems. Currently at UFG Insurance, he applies machine learning and system design to drive innovation in insurance, drawing on prior postdoctoral work that used smart glasses, watches, and smartphone data to improve hearing-aid personalization and diagnostics. He has a strong embedded-systems and computer-vision background from early engineering roles and GitHub work, and has led projects that reduced hearing-aid personalization time by 50% and collected thousands of wearable data points. Comfortable moving models from lab to production, Dhruv also has hands-on experience standardizing ETL and data science pipelines across teams. His blend of sensor-level engineering, large-scale data collection, and multimodal ML gives him a practical edge in turning complex research into measurable product impact.
10 years of coding experience
11 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Iowa
Bachelor’s Degree Electronics & Communications, Bachelor’s Degree Electronics & Communications at Dharmsinh Desai University
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