MLOps
& DevOps Excellence
Cloud Architect, DevOps and Platform Engineer with more than 10 years of experience building and operating scalable platforms.
Architect, migrate, and optimize AWS and Azure infrastructure that scales with your ambitions. Focused on enhancing service availability and streamlining operations in complex AI and cloud environments.
Featured Work
Building and scaling mission-critical cloud infrastructure across diverse industries.
Telecommunications
Multi-cloud LLM/RAG platform migration across Azure, AWS, and on-premises Kubernetes with GDPR, HIPAA, and PCI DSS compliance.
E-Commerce & Logistics
Self-hosted Kubernetes migrations reducing costs by 40%.
Marine Robotics
GPU-accelerated ML training on AKS with Karpenter auto-scaling, reducing compute costs by 70% for computer vision workloads.
Research
HPC Kubernetes clusters for data science teams, federated learning with differential privacy for medical AI on edge devices.
Industrial IoT & Energy
Large-scale ETL and ML pipelines on Databricks forecasting 900K+ time series for real-time fuel optimization.
Featured Projects
Open-source tools and frameworks showcasing technical depth and practical impact.
doKa seca
framework for bootstrapping cloud-native platforms using Kubernetes in Docker (Kind)
github-k8s-operator
kubernetes operator for managing gitHub repositories (golang)
k8sResourceResizer
ArgoCD compatible tool for resizing kubernetes resource limits and requests based on historical usage patterns
helm-charts
collection of Helm charts for deploying applications on Kubernetes
Latest Insights
Technical deep-dives, tutorials, and lessons learned from building infrastructure at scale.
Bridging the Gap: Implementing GitOps Bridge Pattern with Kind
As I reflect on my journey implementing the GitOps Bridge pattern, I’ve learned that it’s not just another …
Introducing Future Perspectives: A new initiative to update our world view
As we navigate the complexities of our rapidly changing world, it’s more important than ever to engage in …
Beyond MTTR: Rethinking Recovery Metrics for Enhanced Software Performance
Let’s delve into the reasons why focusing solely on Mean Time To Recovery (MTTR) might not be the most effective …
Ready to build something great?
Whether you're looking to implement MLOps, modernize your CI/CD pipelines, or architect a cloud-native platform, I'm here to help.
