About Me
4+ years in Cloud Engineering and Technical Support Engineer with 4+ years of experience assisting with and fulfilling various needs from internal customers. An excellent record of great communications, liaisons, self-wi…
4+ years in Cloud Engineering and Technical Support Engineer with 4+ years of experience assisting with and fulfilling various needs from internal customers. An excellent record of great communications, liaisons, self-willingness to get it done, high quality and standard of work as well as self-driven and passionate by nature. Strong negotiating skills and business acumen with the ability to work independently but also show strong teamwork. Love the cloud space while willing to learn any other skill. Looking to nestle myself in an ever-changing environment, whereby I can make a difference.
Experience
Cloud engineer/Technical support engineer/Quality assurance engineer
<ul><li>Maintained stable platform operations through continuous monitoring, troubleshooting, and proactive issue resolution, minimizing downtime and supporting reliable service delivery.</li><li>Provided technical support to internal customers, resolving platform-related issues and assisting with technical requirements.</li><li>Integrated Splunk to monitor API usage and performance, enabling faster issue detection and improved operational visibility.</li><li>Configured Windows machines for automation and maintained Linux servers through security updates, patching, and system optimisation.</li><li>Built and deployed an automation platform across AWS and Azure, managing networking, security, architecture, maintenance, and cost optimisation.</li><li>Used AWS-native CI/CD tools to support continuous integration, deployment, testing, and infrastructure management.</li><li>Deployed RPA solutions in AWS using EC2, Security Groups, S3, LDAP, and IAM, integrating cloud and on-premises resources to automate repetitive banking processes and reduce manual effort and operational costs.</li><li>Developed a transcription solution using Amazon SageMaker and supported an AI-driven voice monitoring system using AWS services to improve compliance monitoring and reduce risk.</li><li>Built an internal hub enabling users to deploy pre-approved Generative AI patterns and workloads as part of an ongoing project in collaboration with AWS.</li><li>Curated AWS Transform within bank standards, configuring users, permissions, and access requirements in line with organisational policies to support mainframe modernisation.</li><li>Conducted deployment and system analysis, evaluating performance, reliability, and outcomes to identify areas for improvement.</li><li>Developed Java-based processes and used CI/CD and testing methodologies to improve platform functionality, integration, and deployment quality.</li><li>Worked with internal customers to understand business and automation requirements, documented manual workflows, and collaborated with software engineers to develop automated solutions.</li><li>Coordinated with senior team members and QE teams for solution reviews, testing, approvals, and deployment, ensuring solutions met quality, security, and operational standards.</li></ul><p></p>
AWS TechU – Internship
<p>Trained in the AWS cloud space.</p><p> Received firsthand knowledge from employees at Amazon Web Services.</p><p> Applied that knowledge when doing work within AWS.</p>