Summary
Rubayet Rongon is a PhD candidate and graduate research assistant specializing in high-performance computing, distributed and parallel systems, with a decade of software engineering experience spanning academia and industry. He has worked on MPI performance optimization under an experienced HPC research group at Florida State University and continues his doctoral research at Washington State University Vancouver. His industry background includes backend and data-focused roles—building ETL pipelines, time-series prediction for server optimization, and B2B machine-learning tooling—bridging practical production systems with research-grade performance work. Comfortable in Java and Python and experienced with HPC toolchains, he brings a pragmatic focus on accelerating compute-heavy ML and scientific workloads. Notably, he combines deep systems knowledge with hands-on engineering from early-career IPTV and SaaS products to inform scalable, performance-driven solutions.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Florida State University
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Khulna University of Engineering and Technology
Phd, Computer Science, Phd, Computer Science at Washington State University Vancouver
English