► Developed a cross-platform, serverless, solution for monitoring/alerting in AWS using Lambdas and CloudWatch Logs; and in Azure using Functions and Application Insights, with notifications sent to Microsoft Teams channels via webhooks to be triaged and actioned by internal support team► Continuously playing a key part in saving millions of dollars for the company annually by building and maintaining applications that focus on cloud cost savings for resources in both AWS and Azure, while advocating for and promoting the use of automation as a means to optimise resource utilisation on the Cloud► Implemented containerisation of team applications to ensure a seamless experience for: development, testing, and deployment - providing an OS/device-agnostic solution to the "but it works on my machine" problem► Uplifted a central microservice to adhere more strictly to the SOLID principles of object-oriented design to enhance: extensibility, modularity, and reusability, as well as set a precedent for future code updates

► Automated the creation/destruction of the various cloud resources using IaC with Terraform for the purpose of application testing. This included EC2 instances, Auto-Scaling groups (ASGs), RDS clusters/instances, ECS clusters - allowing accelerated manual acceptance testing in AWS► Orchestrated the uplift of legacy CI/CD Jenkins pipelines for all team applications by mapping out and standardising necessary pipeline stages that included both shared and specific components in order to streamline deployment processes to AWS & Azure► Identified gaps in automated testing suites and wrote unit tests to increase code coverage for those gaps, improving both service reliability and overall test effectiveness► Advocated for and championed proper documentation of team processes such as: local development setup guides, feature guides, complex/niche process guides, and deployment guides - allowing for more streamlined workflows, decreased time to release, and better support for the future of the team

► Developed and deployed various feature enhancements to the company's enterprise lending platform application in the home ownership domain, working with GraphQL, Node, Express, PostgreSQL► Authored comprehensive unit tests to validate application functionality and ensuring high code quality whilst minimising the risk of future system failures► Identified, diagnosed, and remediated critical server vulnerabilities on AWS EC2s

► Developed a prototype fuzzy matching solution to identify customers consistently, across multiple platforms in order to facilitate data pooling for a more comprehensive customer profile► Implemented and assessed multiple techniques for building a recommendation engine to enable a personalised user experience, with algorithms ranging from collaborative filtering to content-based filtering; as well as hybrid approaches