Akash Bhuiyan

Founder & Backend Engineer at Kredvox

Uppsala, Sweden
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Summary

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Senior
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Top School
Akash Bhuiyan is a software developer with around 10 years of professional experience and 8+ years focused on Java, Spring Boot, and microservices, delivering scalable, high-performance systems for mission-critical applications. He has led legacy re-architecture efforts, introduced CI/CD with Jenkins and Docker, and improved observability using Grafana and Prometheus to enable daily deployments and faster incidents resolution. Comfortable across the full stack, he pairs backend expertise with Angular/React front-ends and practical ML experience—having implemented ML services and co-authored IEEE research in IoT, computer vision, and NLP. A hands-on mentor and workshop facilitator, he emphasizes clean code, test-driven delivery, and continuous improvement while preferring projects in FinTech, HealthTech, and AI-driven domains. Based in Uppsala, Sweden, he brings a blend of production engineering rigor and research-informed curiosity to complex distributed systems.
code10 years of coding experience
job8 years of employment as a software developer
bookMSc in CSE, MSc in CSE at United International University
languagesBangla, English, Hindi
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Github Skills (16)

yeoman-generator7
java7
spring-boot7
docker6
generator6
webpack6
angular6
react6
docker-compose4
microservices4
kubernetes4
grafana3
prometheus3
spring-cloud3
jhipster3

Programming languages (2)

TypeScriptJava

Github contributions (5)

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A sample Java microservices architecture project using Docker, Spring Boot, and Spring Cloud. Demonstrates key patterns in distributed systems, including service discovery, API gateway, and centralized configuration.
Contributions:5 PRs, 61 pushes, 1 branch in 1 year
containersdistributed-systemsdockerdocker-composegrafana
This project demonstrates microservices orchestration using Kubernetes, enabling seamless deployment, scaling, and management of multiple microservices. It includes Spring Boot microservices deployed in a Kubernetes cluster using Config Server, Service Discovery (Eureka), and Load Balancing.
Contributions:21 PRs, 24 pushes, 2 branches in 20 days
auto-scalingk8skubernetesmicroservices-developmentrollback
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