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Schedule Interview NowMy name is Shramish K. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Amazon Web Services, Microsoft Azure, Kubernetes, Docker, Terraform, etc.. I hold a degree in High school degree, Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Cloud Computing & DevOps Training Curriculum with Hands-On Labs, AWS Infrastructure Cost Optimization Using Terraform & Native Tools, MultiCloud High Availability Deployment-Azure & Google Cloud:Terraform, End-to-End CI/CD Pipeline Using GitLab, Docker, and Kubernetes, Scalable & Secure AWS Infrastructure using Terraform and Kubernetes. I am based in Frankenthal, Germany. I've successfully completed 5 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
5 years
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4 Years
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SAP
Developed and delivered a complete, hands-on cloud computing training program covering AWS, Docker, Kubernetes, Terraform, and CI/CD. The curriculum focused on real-world implementation, not just theory — using practical labs, capstone projects, and visual materials to accelerate learning. All training artifacts — slide decks, lab guides, Terraform examples, Dockerfiles, K8s manifests — were modular, reusable, and designed for both self-paced and instructor-led formats.
Analyzed and optimized AWS usage for a scaling SaaS product facing rapid infrastructure cost growth. Implemented right-sizing, lifecycle policies, serverless migration, and real-time monitoring to reduce spend by 35% without sacrificing performance or reliability. The solution utilized AWS-native cost tools, CloudWatch, and Terraform automation for ongoing optimization, empowering the client with better visibility and long-term savings.
Designed and deployed a multi-cloud infrastructure strategy using Azure AKS and Google GKE to meet strict uptime and compliance demands of a health tech company. The architecture ensured automatic failover, secure data replication, and centralized observability. Infrastructure was provisioned using Terraform, with a mirrored Kubernetes deployment across both clouds, automated metrics collection via Prometheus, and alerting through a unified Grafana dashboard.
A logistics tech startup wanted to modernize their monolithic application into microservices, introduce CI/CD automation, and deploy to Kubernetes to speed up their development cycles and reduce production issues. They were already using GitLab and wanted a solution that tightly integrates GitLab CI/CD with Dockerized services, K8s-based deployment, and zero-downtime releases.
Designed and implemented a production-grade AWS infrastructure for a fintech SaaS startup looking to launch a secure and compliant digital invoicing platform. The solution was architected to meet high availability, security, and compliance standards (PCI-DSS/SOC2 aligned), using Terraform, Amazon EKS, and a full monitoring/alerting stack. The infrastructure was modular, reusable, and automated to support fast iteration,and zero-downtime deployments. The deployment included real-time monitoring with Prometheus and Grafana, secrets management, VPC hardening, and audit trail mechanisms.
High school degree in Science
2016-01-01-2018-01-01
Bachelor of Science (BS) in Computer science
2019-01-01-2022-01-01