Fractional CTO Β· KubeStronaut Β· AI Platform Architect Β· Cloud Architect Β· Cybersecurity Β· MLOps
Based in the Kumaon Himalayas Β· Working with global teams across US Β· Europe Β· Asia Β· Africa
I help AI startups and SaaS companies build and scale cloud-native infrastructure β without the cost of a full-time CTO.
I design and implement production-grade platforms that are scalable, secure, and built for real-world usage β not just demos. My work spans Kubernetes, MLOps, Agentic AI systems, DevSecOps, multi-cloud architecture, and fractional CTO engagements with teams across four continents.
I have helped teams reduce infrastructure costs by 60%, achieve 99.9% uptime SLAs, and ship AI systems that actually run in production β not just demos.
Before going deep into cloud infrastructure, I organized treks to remote Himalayan villages, co-founded an AgriTech startup, and collaborated with NGOs across India. That journey gave me something no certification can teach β the ability to stay grounded and creative when complexity peaks.
| Domain | What I Deliver |
|---|---|
| βΈοΈ Kubernetes Architecture | Platform design, multi-cluster scaling, KubeStronaut-grade implementations |
| π€ MLOps | Deploying and serving AI models reliably in production environments |
| π€ Agentic AI Systems | Governed, cost-efficient AI agent platforms on Kubernetes β token budgets, policy enforcement, OTel |
| π€ Azure AI Foundry | Enterprise AI Agents, Azure AI Foundry Agent Service, Model Catalog |
| π€ Microsoft Agent Framework | Single-agent & Multi-agent applications, orchestration, memory, MCP |
| π DevSecOps & Cybersecurity | Security integrated into CI/CD from day one β not bolted on later |
| βοΈ Multi-Cloud | Azure Β· AWS Β· Oracle Cloud β architecture, migration, cost optimisation |
| ποΈ Legacy Modernisation | Cloud-native transformation of enterprise systems |
| π― Fractional CTO | Architecture decisions, technical hiring, and engineering strategy |
KubeStronaut β among the highest Kubernetes credential holders globally. Awarded to engineers who complete the full suite of CNCF Kubernetes certifications.
I bring enterprise-grade security thinking to every infrastructure engagement β not as an afterthought, but as a core design principle.
Key engagements & capabilities:
- Government Judicial Institution β Designed and delivered cloud and cybersecurity infrastructure for a judicial body requiring enterprise security architecture, compliance-aware design, and zero-tolerance reliability
- DevSecOps pipelines β SAST/DAST integration, secrets management (HashiCorp Vault), container image scanning, and policy enforcement via OPA/Gatekeeper
- Zero-trust architecture β Network segmentation, identity-aware access, and workload identity across multi-cloud environments
- Kubernetes security hardening β CKS-level: pod security admission, RBAC design, runtime threat detection (Falco), and audit logging
- Compliance frameworks β SOC2, HIPAA, DORA, and government-grade security standards
I train engineering teams and consult on Kubernetes adoption β from fundamentals to enterprise-scale platform engineering.
Training programmes I deliver:
| Programme | Audience | Outcome |
|---|---|---|
| Kubernetes for Developers | Dev teams new to K8s | Confidently deploy, debug, and manage workloads |
| CKA / CKAD Exam Prep | Engineers pursuing certification | Structured prep with hands-on labs |
| Production Kubernetes | Platform & SRE teams | Multi-cluster, autoscaling, GitOps, observability |
| Kubernetes Security (CKS) | Security-conscious engineering teams | Hardening, RBAC, policy, runtime security |
| MLOps on Kubernetes | AI/ML teams | Model serving, Kubeflow, GPU workloads, scaling |
| π€ Agentic AI on Kubernetes | Platform & AI engineers | Governed, cost-efficient AI agent systems β KEDA, Kyverno, OTel |
Consulting engagements:
- Kubernetes platform design and architecture reviews
- Migration from Docker Compose / bare VMs to Kubernetes
- GitOps implementation with ArgoCD and Flux
- Cost optimisation and right-sizing in production clusters
- Incident response and reliability engineering
Kubernetes & Cloud Native
Cloud Platforms
Security
AI / MLOps
DevOps & IaC
- π€ Speaker β CNCF Meetup Β· "Agentic AI Without Chaos" β Governed AI systems on Kubernetes
- Lead β CNCG Dehradun Β· Growing the cloud-native community in the Uttarakhand region
- Co-founder β AgriTech Initiative Β· Data-driven tools supporting farmers with precision agriculture
- Himalayan Expedition Leader Β· Remote high-altitude treks shaping calm, high-stakes decision-making
- Corporate Trainer Β· GitHub Copilot, Kubernetes, DevSecOps β delivering enterprise training globally
- Self-taught engineer Β· Powered by MIT OpenCourseWare, Harvard CS50, Stanford, Coursera, edX, and the open internet
I design and deliver high-impact corporate workshops focused on AI-assisted development and cloud-native engineering:
- π€ GitHub Copilot Enterprise Training β From prompt engineering to governance
- β AI-Assisted Java Development β Production-grade coding with Copilot
- π Secure AI Development (AZ-2007 aligned) β DevSecOps + compliance
- βΈοΈ Kubernetes & Platform Engineering β From fundamentals to production
- π€ Agentic AI on Kubernetes β KEDA autoscaling, Kyverno governance, token budgets, OTel observability
π¬ Trusted by teams building real-world systems β not just demos.
π‘ Real-world, production-grade repositories used in corporate trainings and enterprise consulting engagements.
A complete hands-on learning path for building production-ready AI agents using Azure AI Foundry and the Microsoft Agent Framework.
| Repository | Description |
|---|---|
| π AI-pilot-to-production-day01 | Azure AI Foundry fundamentals, Microsoft Agent Framework, orchestration patterns, and Magentic-One concepts |
| π§ AI-pilot-to-production-day02 | Enterprise grounding, memory, MCP, tool calling, Azure AI Foundry Agent Service, and multi-agent development |
| π‘οΈ AI-pilot-to-production-day03 | Enterprise governance, identity, security, observability, evaluation, scaling, and production deployment |
| Repository | Description |
|---|---|
| π§ mlops-zero-to-hero | End-to-end MLOps using Kubernetes, Kubeflow, model serving, CI/CD, and production deployment |
| π€ agentic-ai-k8s-demo | Production-ready Agentic AI on Kubernetes with KEDA, Kyverno, OpenTelemetry, and governance |
| π microservice-scenarios | Kubernetes resilience, autoscaling, observability, and chaos engineering scenarios |
| Repository | Description |
|---|---|
| π copilot-java-training-kit | Enterprise Java development with GitHub Copilot, prompt engineering, modernization, and DevSecOps |
| π€ copilot-enterprise-demo | Hands-on enterprise GitHub Copilot scenarios for debugging, testing, refactoring, and developer productivity |
| π Secure-AI-Assisted-Development-C-Training-Kit | Secure AI-assisted software development aligned with Microsoft AZ-2007 guidance |
A comprehensive enterprise workshop covering:
- Azure AI Foundry
- Microsoft Agent Framework
- Multi-Agent Systems
- Enterprise Memory
- MCP
- Grounding
- Governance
- Production Deployment
β‘οΈ Explore the workshop series:
- Day 1
- Day 2
- Day 3
I work as an embedded senior technical leader for AI startups and SaaS companies that need CTO-level thinking without full-time overhead.
What I bring:
- Architecture decisions that scale to Series B and beyond
- Technical hiring β defining roles, interviewing engineers, building teams
- Engineering strategy aligned to business goals
- Hands-on execution alongside your team β not just slide decks
Ideal for: Seed to Series A startups Β· SaaS companies scaling infrastructure Β· Enterprises modernising legacy platforms
- π Fractional CTO Engagements
- π€ Azure AI Foundry Architecture & Implementation
- π§ Microsoft Agent Framework & Agentic AI Solutions
- βΈοΈ Kubernetes & Platform Engineering Consulting
- π Enterprise Corporate Training
- π DevSecOps & Cloud Security Advisory
"The best systems are invisible. They scale quietly, fail gracefully, and let teams focus on what actually matters."
"After deciding that a corporate job would drain my creative fuel, I set out to explore β Himalayan treks, an AgriTech startup, NGO work. Along the way I picked up something no resume captures: the ability to hold complexity and stay calm inside it."
If you're building AI systems, scaling SaaS infrastructure, or need senior technical guidance without a full-time hire β reach out.
I respond to every serious inquiry.
Looking for a Fractional CTO to lead your infrastructure? Currently open to 1-2 new engagements β let's talk
He/Him Β· Open to: Fractional CTO Β· K8s Consulting Β· Corporate Training Β· MLOps Engagements