Senior AI DevOps/DevSecOps Engineer with 7 years of experience designing, building, and operating secure, scalable cloud-native platforms across AWS, Azure, and GCP. My expertise spans Platform Engineering, Kubernetes, Terraform, Infrastructure as Code, CI/CD automation, DevSecOps, observability, and cloud security. Over the last few years, my focus has evolved toward Generative AI Platform Engineering and LLMOps. As an Individual Contributor, I architected and built Alchemy, an enterprise Generative AI platform that enables secure multi-cloud access to foundation models across AWS, Azure, and GCP through a unified AI gateway. I also developed K8s-Copilot, an LLM-powered Kubernetes Observability & Incident Automation solution that reduced incident troubleshooting time by 40–60% through AI-assisted root cause analysis and remediation. I enjoy building platforms from the ground up—automating infrastructure with Terraform, designing Kubernetes-based architectures on Amazon EKS, implementing GitOps and CI/CD pipelines, and integrating security into every stage of the software delivery lifecycle using tools such as Veracode, WIZ, SonarQube, Trivy, and Snyk. My work also includes implementing LiteLLM for centralized model routing, NVIDIA NeMo Guardrails for AI safety and governance, and Langfuse for LLM observability, tracing, and performance analytics, helping organizations deploy Generative AI applications securely and at scale. I hold AWS Certified DevOps Engineer – Professional, AWS Certified Solutions Architect – Professional, and AWS Certified Security – Specialty certifications, reflecting my commitment to cloud architecture, automation, and security. I'm passionate about Platform Engineering, DevSecOps, Kubernetes, cloud-native technologies, and building reliable AI platforms that solve real business problems. I enjoy taking ownership of complex technical challenges, driving engineering excellence, and continuously learning emerging technologies in cloud and Generative AI.