Rajib Hossen

Senior Software Engineer at GEICO

Arlington, Texas, United States
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Summary

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Senior
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Top School
Rajib Hossen is a Senior Software Engineer and Cloud Performance & Capacity specialist with 11 years of experience optimizing large-scale distributed systems, Kubernetes platforms, and HPC workflows. He holds a Ph.D. in Computer Science from UT Arlington where his research produced novel autoscaling and resource-management algorithms that cut microservice CPU usage by over 33% compared to prior approaches. At GEICO he leads data-driven right-sizing, cost attribution, and cloud efficiency efforts, translating workload signals into measurable cost and performance improvements. His internships at Lawrence Livermore National Laboratory involved enabling autoscaling for HPC on Kubernetes and building Terraform/AWS automation for converged computing—a practical bridge between cloud-native tooling and HPC needs. Rajib combines hands-on systems coding in Go and Python, observability stacks (Grafana/InfluxDB), and research-grade experimentation to solve hard capacity and sustainability problems. He’s particularly interested in making large compute environments both performant and cost-efficient, with an eye toward practical deployment of research innovations.
code11 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Texas at Arlington
bookBachelor of Science (B.Sc.), Computer Science and Engineering, Bachelor of Science (B.Sc.), Computer Science and Engineering at Khulna University of Engineering and Technology
languagesBengali, English
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Stackoverflow

Stats
128reputation
7kreached
4answers
8questions
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Github Skills (85)

benchmarking9
proxies8
glusterfs8
performance-testing8
filesystem8
reinforcement-learning8
mobile8
security7
http7
load-testing7
microservices7
monitoring7
loadtest7
consul7
python7

Programming languages (10)

JavaDockerfileC++ShellCGoPHPLua

Github contributions (5)

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Contributions:104 pushes, 1 branch in 2 years 2 months
rajibhossen/edge-offloading

Apr 2020 - Mar 2021

computation offloading in mobile edge computation using Reinforcement Learning
Contributions:75 commits, 2 comments in 11 months
mobilereinforcement-learning
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