Adil M.

I design and build Agentic AI systems and Retrieval-Augmented Generation (RAG) pipelines, combining autonomous, LLM-driven workflows with full-stack development to deliver intelligent, end-to-end applications. I bring 9+ years of experience as a Senior DevOps and Site Reliability Engineer to every AI project, designing, automating, and scaling enterprise cloud platforms. My core expertise is in AWS, with additional hands-on work in GCP, Azure, and Oracle Cloud. I specialize in Kubernetes, Terraform, GitOps (ArgoCD), and serverless architectures that deliver secure, compliant, and cost-optimized systems. I build observability-first platforms, streamline Datadog incidents and alert pipelines, and implement SLO-driven reliability to lower MTTR and improve uptime. I'm known for driving modernization and FinOps initiatives that strengthen security, resilience, and operational efficiency across global multi-tenant SaaS environments. Fully remote and open to work with EU timezones, with strong collaboration across distributed engineering teams.