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Schedule Interview NowMy name is George C. and I have over 8 years years of experience in the tech industry. I specialize in the following technologies: Microsoft Azure, Terraform, DevOps, Amazon Web Services, Jenkins, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Enhancing Server Availability and Scalability with AWS Architecture, Digital Ocean Kubernetes Setup & Deployment, Scalable Kubernetes Infrastructure & Microservices for LLM. I am based in London, United Kingdom. I've successfully completed 3 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
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I worked as an AWS Architect to enhance server cluster availability by configuring EC2, Target Groups, Load Balancers, and auto-scaling groups. I designed and deployed scalable, highly available, and fault-tolerant systems, ensuring infrastructure monitoring for high availability. I advised on server deployment across multiple geographies to optimise performance and reliability. My work improved system resilience, reduced downtime, and ensured seamless scalability for the client's infrastructure.
The client required migrating their application from Digital Ocean’s App Platform to Kubernetes to improve scalability and manageability. The setup involved creating a Kubernetes cluster, configuring auto-scaling with KEDA, implementing centralised secret management, and deploying applications using Helm charts. Additionally, I set up an Ingress controller with cert-manager to handle load balancing and sticky sessions. This project enhanced scalability, streamlined monitoring, and simplified the management of the application.
Completed initiatives: - Migrated from RunPod to AWS EKS Kubernetes: Designed a secure cluster with private workers, DNS whitelisting, firewalling, VPN, and dynamic GPU provisioning. Delivered Terraform templates for Kubernetes cluster deployment via Azure DevOps Pipelines. - Split a monolithic Python app into four LLM microservices: Analyzed the codebase, proposed a microservice architecture in 2 weeks, and implemented a secure messaging queue using Kafka and Zookeeper on Kubernetes.
Bachelor of Engineering (BEng) in Electronic Engineering and Cybernetics
2008-01-01-2011-01-01