Nahid Shuvo
Graduate Research Assistant
Virginia, United States
Summary
🤩
Rockstar🎓
Top SchoolMd Nahid is a Software Engineer from Bangladesh with nine years of hands-on experience building backend systems, particularly in Golang and cloud-native environments. He blends backend development and DevOps expertise, contributing to production-grade PaaS tooling where he added CPU and memory utilization metrics via AWS CloudWatch for ECS services. Comfortable with Kubernetes and DevOps workflows, he focuses on observability and reliable operations for distributed systems. His work demonstrates attention to detail through unit-tested enhancements that improve runtime monitoring and process visibility. Colleagues can expect a pragmatic engineer who bridges code and infrastructure to make systems both measurable and maintainable.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Information Technology, Doctor of Philosophy - PhD Information Technology at George Mason University - College of Engineering and ComputingMaster of Science - MS Computer Science, Master of Science - MS Computer Science at University of Nebraska at OmahaBSC Electronics and Communications Engineering, BSC Electronics and Communications Engineering at Khulna University of Engineering and Technology
Stackoverflow
4,534reputation
301kreached
94answers
1question
mutex
top-5%
go
top-5%
environment-variables
top-5%
kubernetes
top-5%
Github Skills (21)
docker10
amazon-ecs10
dockers10
go10
aws10
aws-ecs10
cloudwatch10
paas10
mutex9
testing9
container9
kubernetes9
environment-variables9
openshift6
dictionary6
Programming languages (6)
Github contributions (5)
convox/rack
Jul 2022 - Jan 2023
Private PaaS built on native AWS services for maximum privacy and minimum upkeep
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:48 releases, 80 reviews, 45 commits in 6 months
Contributions summary:Nahid primarily contributed to the back-end logic of the PaaS, specifically adding CPU and memory utilization metrics for rack processes. They implemented the use of AWS CloudWatch metrics to collect these metrics for ECS services and incorporated them into the process listing functionality. The user also modified the system processes to include CPU and memory utilization metrics and added unit tests, enhancing the monitoring capabilities of the system.
aws-servicespaasdockerecsaws
nightfury1204/kubernetes-handbook
Apr 2018 - Sep 2019
Kubernetes helper resources
Contributions:36 PRs, 43 pushes, 42 branches in 1 year 4 months
kubernetes
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