Research Assistant at Anita Zucker Center for Excellence in Early Childhood Studies
Gainesville, Florida, United States
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Summary
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Senior
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Top School
Vashist Hegde is an applied machine learning and software engineer with eight years of experience building production-ready systems across speech, vision, and analytics. Currently a Research Assistant at the Anita Zucker Center and collaborating with UF’s Speech Development Lab, he blends HMMs and transformer architectures to push child-focused speech recognition and classroom language network modeling. His work has improved child speech detection precision and classroom interaction prediction while delivering full‑stack visualization tools used by hundreds of teachers. Prior roles at MathWorks and startups involved compiler/code‑generation engineering and robust ML pipelines for content safety, showing a rare mix of low-level systems rigor and applied research. He holds an MS in Computer Science from the University of Florida and a bachelor’s from IIIT Vadodara, where he also accelerated on-device model performance via OpenCL. A practical researcher who ships features, Vashist pairs academic rigor with product-minded deployments that measurably boost engagement and model accuracy.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree Information Technology, Bachelor's degree Information Technology at Indian Institute of Information Technology Vadodara
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Florida
Contributions:4 pushes, 1 branch in 1 year 10 months
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Vashist Hegde - Research Assistant at Anita Zucker Center for Excellence in Early Childhood Studies