Cloud Native & AI Engineer

System Engineer

As a System Engineer, I was deeply involved in the DevOps lifecycle, where I built and managed Kubernetes clusters from the ground up, designed and maintained CI/CD pipelines, and oversaw the entire infrastructure stack. My role demanded a strong problem-solving mindset as I routinely diagnosed and resolved complex issues across distributed systems.

In addition to hands-on infrastructure work, I developed proficiency in key foundational skills such as Linux administration, shell scripting, Kubernetes operations, and Docker containerization. This role not only strengthened my technical capabilities but also instilled a deep understanding of automation, scalability, and system reliability in modern cloud-native environments.

Senior Systems Engineer

In my role as a Senior System Engineer, I expanded my expertise beyond infrastructure to include software development, focusing on Python-based and serverless cloud-native projects.

This position allowed me to work as a backend Python developer while continuing to apply my DevOps background, ensuring seamless deployment and reliable performance across environments. I gained hands-on experience with cloud platforms, serverless architecture, and modern development practices—bridging the gap between software engineering and systems operations.

Technology Analist

CURRENTLY WORKING

As a Technology Analyst, I shifted my focus toward building intelligent applications powered by Generative AI. My work involved designing and developing AI agents and integrating them into scalable platforms using tools like Google ADK, LangChain, and MCP Server.

I was also involved in platform automation, streamlining workflows and enhancing system capabilities through intelligent process design. This role deepened my understanding of GenAI concepts, large language models, and orchestration frameworks, enabling me to build cutting-edge, AI-driven solutions that align with business objectives.