Pavan Patil

Building, maintaining, and further developing (SaaS) platforms in Microsoft Azure cloud environments using Terraform. Designing, implementing, and maintaining Jenkins CI/CD pipelines to ensure efficient software delivery.

Experienced in configuring and maintaining infrastructure with Azure Kubernetes Service (AKS), managing deployments via Helm charts and GitOps, and overseeing CI/CD pipelines with GitLab and ArgoCD. Proficient in developing automated CI/CD pipelines for Kubernetes and cloud environments. Collaborates with Solution Architects and stakeholders to refactor and implement scalable technical solutions.

Developed and optimized CI/CD pipelines using GitLab, integrating container technologies like Kubernetes, Helm, and Docker for seamless deployment. Additionally, implemented infrastructure as code (IaC) using Terraform to enhance automation and scalability.

Managed and configured cluster setups on Open Telekom Cloud (OTC) and on-premise environments using Kubernetes and SaltStack, ensuring efficient application deployments. Automated CI/CD pipelines with TeamCity to streamline integration and delivery processes. Oversaw system administration, maintenance, and optimization to enhance performance and reliability.

Developed and managed CI/CD pipelines for Java applications using Maven and Jenkins, automating build, test, and deployment processes. This ensured seamless, continuous integration and delivery of high-quality software.

Worked as a backend developer (Java) in the AI Assistant domain, focusing on machine learning. Applied data mining, NLP, and machine learning techniques to analyze correlations and enhance business operations, including entity identification and information extraction.

Experienced in Requirement, Test, and Defect Management using ALM 11.0, with expertise in handling the complete application lifecycle. Additionally, developed dashboards utilising the OTA/API of HP-Quality Center/ALM through J2EE for enhanced data visualisation and reporting.

Developed multiple applications using Java technologies, ensuring efficient and high-performing solutions.

Data Science, DBMS, Data Mining, Data Analysis, Simulation, Automata Theory, IT Security