Available for Fractional CTO & Consulting
I help AI startups and SaaS companies build and scale cloud-native infrastructure — without the cost of a full-time CTO. Production-grade Kubernetes, MLOps, Agentic AI, DevSecOps, and multi-cloud architecture across US · Europe · Asia · Africa.
YEARS EXPERIENCE
TRAINING HOURS
CERTIFICATIONS
CONTINENTS SERVED
Platform design, multi-cluster scaling, AKS/EKS architecture, production-grade Kubernetes consulting and KubeStronaut-level implementations.
Kubeflow, MLflow, model serving, GPU workloads, production AI pipelines and scalable ML infrastructure.
Governed, cost-efficient AI agent platforms on Kubernetes — token budget enforcement, KEDA autoscaling, Kyverno policy, and OpenTelemetry observability.
Security-first CI/CD with Vault, Trivy, SAST/DAST, OPA/Gatekeeper, container security and policy enforcement.
Azure, AWS and OCI architecture, migration strategy, cost optimization and hybrid enterprise workloads.
Transforming monoliths and VM-based systems into modern cloud-native platforms and microservices.
Senior technical leadership, architecture decisions, hiring strategy and CTO-level guidance without full-time overhead.
Real outcomes from real engagements.
Designed and delivered enterprise-grade cloud and cybersecurity infrastructure for a government judicial institution. The engagement required compliance-aware architecture, zero-tolerance reliability, enterprise security hardening, and strict adherence to government-grade security standards including SOC2 and DORA frameworks.
Led end-to-end migration of a monolithic SaaS platform to a production-grade multi-cluster Kubernetes architecture on AKS. Implemented GitOps with ArgoCD, security hardening with OPA/Gatekeeper, and full observability stack with Prometheus + Grafana.
Designed and deployed a full MLOps platform on Kubernetes using Kubeflow and MLflow for an AI startup. Enabled GPU workload scheduling, automated model versioning, A/B testing infrastructure, and production model serving at scale.
Built a DevSecOps pipeline integrating SAST/DAST, container scanning with Trivy, secrets management with Vault, and policy enforcement with OPA for a global enterprise. Achieved zero critical vulnerabilities in production within 90 days.
Trusted by engineers, CTOs, and enterprise teams across 4 continents.
Ashutosh transformed our entire infrastructure strategy. His Kubernetes expertise is genuinely world-class — we went from unreliable deploys to a bulletproof GitOps pipeline in under 8 weeks. Worth every penny of the engagement.
We hired Ashutosh as a Fractional CTO for 6 months and the ROI was immediate. He brought senior-level architecture thinking, hands-on execution, and helped us hire our first engineering team. Highly recommend for any growing startup.
The CKA/CKAD training Ashutosh delivered to our team was exceptional. He doesn't just teach — he makes complex concepts completely intuitive. Our entire DevOps team passed their exams. Best corporate trainer we've worked with.
See more recommendations on LinkedIn →
MCT Transcript: Verify on Microsoft Learn →
Senior Corporate Trainer & Fractional CTO — Azure, Kubernetes, AI, DevOps, GitHub Copilot, enterprise consulting and 5000+ training hours delivered.
Cloud & Automation Engineer — Python automation, Ansible, Azure AD, IAM and hybrid identity modernization.
Cloud Infrastructure Engineer — Intune, Defender, Terraform, Ansible and enterprise automation.
Strong foundation in CI/CD, hybrid cloud pipelines, networking, TCP/IP, DNS, DHCP and enterprise operations.
Trusted by:
Production-grade repositories used in corporate trainings and enterprise consulting engagements.
Enterprise-grade Java + GitHub Copilot training kit — prompt engineering, agent workflows, legacy modernization, DevOps & security.
View on GitHub →AZ-2007 aligned secure AI development training — governance, DevSecOps, compliance-first architecture for enterprise teams.
View on GitHub →Hands-on Python scenarios for enterprise Copilot adoption — debugging, testing, refactoring and real-world AI-assisted development.
View on GitHub →Chaos engineering scenarios for Kubernetes — resilience testing, autoscaling validation, and observability for production microservices.
View on GitHub →Production-grade Agentic AI platform on Kubernetes — KEDA autoscaling, Kyverno governance, token budget enforcement, OTel observability. CNCF Meetup talk demo.
View on GitHub →MLOps from zero to production — model serving, Kubeflow, GPU workloads, Kubernetes-native pipelines.
View on GitHub →More on github.com/ashutoshkandpal89 →
Leading treks and expeditions across the Kumaon Himalayas — where perspective meets altitude.
Building technology solutions for agricultural communities, bridging cloud infrastructure with ground-level impact.
"Agentic AI Without Chaos" — Governed, cost-efficient AI agent systems on Kubernetes. Production-grade demo with KEDA, Kyverno, and OpenTelemetry.
Active contributor to the Cloud Native ecosystem, helping engineers grow in Kubernetes and DevOps.
Powered by MIT OCW, Harvard CS50, Stanford and the belief that curiosity is the only prerequisite.
Let's talk about your infrastructure, training needs, or Fractional CTO engagement.