I am a results-driven DevOps/SRE/Cloud Engineer with 4+ years of hands-on experience designing, implementing, and managing cloud-native infrastructures. My expertise spans across AWS cloud services, containerization technologies, and automation frameworks that enable organizations to achieve faster time-to-market and improved operational efficiency.

My technical proficiency includes architecting CI/CD pipelines that have reduced deployment cycles by 40%, implementing Infrastructure as Code (IaC) using Terraform and CloudFormation, and orchestrating containerized applications with Docker and Kubernetes. As technical lead for a 6-month infrastructure modernization project, I coordinated between development, security, and operations teams to deliver a scalable Kubernetes platform serving 2M+ daily users. I actively mentor junior engineers and have guided 3 team members through their AWS certification journeys, while leading weekly technical workshops on cloud architecture patterns.

As an AWS-certified professional, I bring deep knowledge of cloud architecture patterns, security best practices, and cost optimization strategies. My approach combines technical excellence with business acumen, ensuring that infrastructure solutions align with organizational goals while maintaining the highest standards of security and compliance.

Looking ahead, I am actively expanding my expertise into AI and Machine Learning operations (MLOps), focusing on integrating intelligent automation and predictive analytics into DevOps workflows. This includes exploring AWS AI/ML services, automated infrastructure optimization, and intelligent monitoring systems that will define the next generation of cloud operations. Beyond the datacenter, I'm passionate about giving back to the tech community through open-source contributions and regularly speak at local DevOps meetups about cloud security best practices. When I'm not optimizing cloud architectures, you'll find me experimenting with emerging technologies in my home lab or contributing to open-source automation tools on GitHub.