Postdoctoral Researcher at Los Alamos National Laboratory
Santa Fe, New Mexico, United States
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Summary
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Senior
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Top School
Sayef Sakin is a research-driven software engineer and PhD candidate with 11 years of experience building scalable systems for large-scale data visualization, performance analysis, and high-performance computing. Currently a Graduate Research Assistant at the University of Utah, he focuses on visualizing massive trace data from task-parallel programs and evaluating data structures and techniques to minimize visual latency. His internships at Los Alamos, PNNL, and Argonne involved integrating profiling and tracing tools (e.g., TAU), improving developer workflows for code-performance tracking across commits, and porting optimization code to Exascale systems like Frontier and Summit. Prior industry roles saw him lead backend, storage, and application-server work, giving him practical full-stack and ops experience that complements his research. He combines deep academic rigor with hands-on HPC deployments, and is particularly practiced at turning complex trace and metadata challenges into actionable visualization and tooling improvements.
11 years of coding experience
12 years of employment as a software developer
The University of Utah
Secondary School Cetificate, Secondary School Cetificate at I. E. S. School & College
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at University of Dhaka
Higher Secondary Certificate, Higher Secondary Certificate at National Ideal College
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