MLOps & Platform Engineering

MLOps
& DevOps Excellence

Cloud Architect & 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.

Provided Services

Hands-on platform engineering, DevOps, and SRE consulting that helps engineering teams ship faster, run more reliable systems, and build infrastructure that scales with the organization.

Platform Engineering

  • Design your platform strategy and architecture
  • Build golden paths and self-service standards
  • Deliver platform roadmaps and governance models
  • GitOps workflows for the entire Kubernetes platform

Internal Developer Portals

  • Build production-ready Backstage deployments from scratch
  • Service catalogs, software templates, custom plugins, technical documentation
  • Integrate with your CI/CD, Kubernetes, and cloud infrastructure
  • Solutions for Day-0, Day-1, and Day-2 challenges

AI Agents & Infrastructure

  • Custom AI agents tailored to your workflows
  • SDLC automation and operational decision-making
  • Integrate agent platforms with your Kubernetes and DevOps stack
  • LLM and MCP gateway integration, kagent, and agent-to-agent orchestration

DevOps & Automation

  • Build CI/CD pipelines that ship faster and safer
  • GitHub Actions, Helm charts, Terraform modules, custom tooling
  • Comprehensive testing, security scanning, secrets management
  • Reduce manual work, catch issues early, deploy with confidence

Private & Public Cloud

  • Deploy production Kubernetes on AWS, GCP, or Azure
  • Multi-cloud and hybrid environments with Terraform/OpenTofu
  • Network security, compliance controls, disaster recovery
  • Fully documented with monitoring, logging, backups, and runbooks

Site Reliability Engineering (SRE)

  • Define SLIs/SLOs, build incident response, establish on-call rotations
  • Deploy observability stacks with actionable dashboards and alerts
  • Reduce MTTR through automation and capacity planning
  • Measurable improvements in uptime and incident resolution

Hands-on experience with

  • Python
  • Go
  • GitHub Actions
  • Argo CD
  • OpenTelemetry
  • Grafana
  • Prometheus
  • Terraform
  • Ansible
  • Kubernetes
  • Docker
  • Crossplane
  • Apache Kafka
  • Cloudflare
  • Cilium
  • Nvidia
  • MLflow
  • PostgreSQL
  • Redis
  • ClickHouse
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)
  • Microsoft Azure
  • HashiCorp Vault

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.