About
I build and operate cloud platforms that let teams deploy faster, scale safely, and sleep through the night.
I’m a Senior DevOps / Platform Engineer with hands-on experience across AWS, Microsoft Azure, and Google Cloud Platform, specializing in Kubernetes platforms, Infrastructure as Code, CI/CD systems, and GitOps-driven delivery for microservices and machine learning workloads running in production.
My work focuses on platform reliability, delivery velocity, and security, treating automation and IaC as first-class principles. I design systems that are reproducible, observable, and boring to operate — in the best possible way.
What I’ve Owned End-to-End
- • Kubernetes platform design and operations (EKS and managed Kubernetes)
- • Production CI/CD pipelines using Jenkins and GitHub Actions
- • GitOps-based continuous delivery with Argo CD
- • Cloud infrastructure automation using Terraform and Ansible
- • Secure ingress, networking, and TLS using ALB, Route 53, and cert-manager
- • Identity, secrets, and security controls aligned with least-privilege practices
MLOps & ML Platform Experience
I’ve expanded into MLOps with a strong focus on how ML systems behave in real production environments — approaching ML from a platform-first mindset.
- • Containerized model serving on Kubernetes
- • Inference deployment and lifecycle management
- • KServe-based serving architectures
- • AWS SageMaker integrations
- • Secure, scalable ML workflows built in collaboration with security and IAM teams
I prioritize operability, observability, and governance — not experimentation alone.
How I Work
- • Clear ownership and accountability
- • Automation over manual processes
- • Strong collaboration across engineering, QA, and security teams
- • Building platforms as long-term products, not short-term fixes
Beyond Engineering
Outside of day-to-day engineering, I’m passionate about public speaking, teaching, and motivating people. I enjoy helping individuals build confidence, think clearly during uncertainty, and grow — whether through technical mentoring or broader life conversations.
If you’re building or scaling cloud platforms across AWS, Azure, or GCP, and want them to be secure, observable, and truly production-ready — let’s connect.