Customer success Engineer
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Implementing large-scale deployments for production clients in cloud and on-premise environments using Kubernetes technology. These deployments are for applications that utilize unsupervised, semi- supervised, and reinforcement machine learning algorithms. As a result, financial institutions have been able to detect money laundering, identify operational issues, manage risks, and uncover growth opportunities with unprecedented efficiency.
Managing the cloud infrastructure for 75 global customers, including fintech and international banks. Using technologies such as Azure Cloud and Kubernetes ensures optimal performance and solutions tailored to each client's needs, a testament to my leadership and commitment to making a positive impact.
Analyzing components and logs to identify patterns and trends, optimize performance, and improve operational efficiency in cloud and on-premises environments, specifically in Kubernetes-based clusters (Azure -Google-AWS ). Additionally, my incident management skills ensure the integrity and availability of tools, a crucial aspect of my role as a Support Engineer.
