As a seasoned software engineer, I specialize in developing robust backends using Golang for applications and databases on Kubernetes. I have honed my skills building Kubernetes Operators for popular databases like Elasticsearch, OpenSearch, Kafka, and tools such as Kibana, OpenSearch-dashboards, Cruise-control, and more. My experience also encompasses using Docker, Helm, Prometheus, Grafana, bash scripts, and other related tools, along with implementing effective CI/CD and release workflows.
Aug 2021 - Present
Dhaka Branch
Appscode Inc. is a widely recognized company for cloud-native development. AppsCode Ltd. is a subsidiary company of AppsCode Inc. USA. Its mission is to accelerate the transition to Containers by building a Kubernetes-native Data Platform.
Aug 2021 - Present
KubeDB simplifies Provision, Upgrade, Scaling, Volume Expansion, Monitor, Backup, Restore for various Databases in Kubernetes on any Public & Private Cloud.
2016-2021 B.Sc. in Computer Science & EngineeringCGPA: 3.29 out of 4Extracurricular Activities:
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A.K. High School & College2013-2014 Secondary School CertificateGPA: 5 out of 5 |
Outbreak prediction is a way to predict the epidemic potentials of diseases using the pattern of medication sales values. Successful prediction might result in being cautious of the outbreak of diseases and taking necessary measures to prevent the predicted outcome. As medication sales values are too random, the analysis of medication correlation is one of the most interesting and challenging parts for the researchers. The major objective of this proposed research method is to analyze medication drug sales values for a certain period of a pharmaceutical company using statistical methods. It is also the intent of this research to make a comparative analysis of the output generated by the deep learning model with the real sales values of a month. Our method successfully predicts the outbreak potential of diseases with competent accuracy, so that we will have enough time to take precautions and prevent future pandemics through precautionary measures.
