Shivkumar Tiwari

Consultancy

Build. Modernize. Automate. Scale.

I provide freelance Azure Cloud, DevOps, Platform Engineering, Security, Active Directory, and AI automation consulting for Indian and international clients. Engagements are tailored to architecture quality, operational reliability, and practical delivery outcomes.

Services

End-to-end consulting across cloud architecture and engineering delivery

Azure Cloud Architecture and Consulting

Azure foundations, landing zones, networking, identity, RBAC, architecture decisions, governance controls, cost awareness, and reliability planning.

Cloud Migration and Business IT Onboarding

Azure onboarding for business workloads, migration planning from on-premises or legacy systems, application/database/server/file migration, DNS, SSL, backup, and monitoring setup.

DevOps and Platform Engineering

Azure DevOps and GitHub Actions pipelines, Terraform/OpenTofu, CI/CD workflows, Docker and AKS patterns, reusable modules, golden paths, DevSecOps controls, and observability foundations.

Microsoft Active Directory and IT Automation

On-premises AD DS consulting for domain controllers, domain and forest architecture, OUs, GPOs, PowerShell automation, replication health, and DNS. Hybrid identity with Microsoft Entra ID is addressed separately from AD DS domain services.

Cloud Security, Governance and Reliability

Azure security posture reviews, Defender for Cloud alignment, BCDR planning, backup strategies, monitoring and incident response design, governance policy baselines, and cost optimization controls.

AI Agents and Intelligent Business Automation

RAG and knowledge assistant architecture, document processing and ticket triage workflows, Azure AI Foundry foundations, enterprise integrations, evaluation loops, human approval gates, and responsible deployment controls.

IT Architecture and Technical Advisory

Current-state assessments, HLD/LLD deliverables, modernization roadmaps, technology selection, engineering standards, and technical mentoring for internal teams.

Engagement models

  • Project-based consulting
  • Part-time consulting
  • Ongoing technical partnership
  • Architecture advisory

Delivery process

  1. 1. Discover and assess

    Understand business objectives, current architecture, delivery constraints, and risk profile.

  2. 2. Design and plan

    Define target architecture, implementation approach, priorities, and governance checkpoints.

  3. 3. Implement and validate

    Execute scoped work, validate technical outcomes, and document operational considerations.

  4. 4. Handover and support

    Share documentation and walkthroughs, then support your team through adoption and follow-up refinements.

Consulting Packages

Structured starting points with clear scope and deliverables

Cloud Readiness and Architecture Assessment

Assessment of current workloads, constraints, risks, and target Azure architecture options across identity, networking, governance, and operations.

Typical deliverables

  • Assessment summary with risk and dependency mapping
  • Target-state architecture recommendations
  • Prioritized roadmap for staged implementation

Cloud Foundation and Business Onboarding

Build or refine Azure foundations for organization onboarding, including landing-zone controls, baseline operations, and workload onboarding guidance.

Typical deliverables

  • Foundation design artifacts and implementation checklist
  • Governance and security baseline recommendations
  • Onboarding playbook for application and team adoption

DevOps Foundation and CI/CD

Design and implement reusable delivery pipelines and DevSecOps checkpoints for reliable multi-environment releases.

Typical deliverables

  • CI/CD architecture and pipeline template structure
  • Release governance gates and environment promotion strategy
  • Operational handover notes for engineering teams

AI Automation Proof of Concept

Validate a practical automation use case using AI-assisted workflows, with clear controls for data handling, human review, and deployment boundaries.

Typical deliverables

  • PoC architecture and workflow definition
  • Evaluation approach and acceptance criteria
  • Decision memo for production-readiness next steps

Selected Work

Case studies and interactive demos from this portfolio

This section reuses existing portfolio routes only. Labels identify whether an item is reference architecture evidence or an interactive simulation. No new client claims, testimonials, or production metrics are introduced here.

Implemented demo evidence

Azure Landing Zone and Terraform/OpenTofu Automation

Teams need consistent subscription onboarding and policy controls without duplicating infrastructure code.

AzureTerraformOpenTofuGovernance

Interactive simulation

Multi-Environment CI/CD for Angular + .NET + SQL

Distributed teams require reliable release automation across dev, test, and production with clear approvals and rollback strategy.

Azure DevOpsCI/CD.NETSQL

Reference architecture evidence

Azure AI / RAG Infrastructure

Organizations exploring RAG require secure and governable infrastructure foundations before experimentation at scale.

Azure AIRAGInfrastructureSecurity

Interactive simulation

Azure AIOps - Intelligent Incident Detection and Root Cause Analysis

Operations teams need faster triage for noisy incidents across applications and infrastructure without relying on unsupported autonomous remediation claims.

AIOpsAzure MonitorLog AnalyticsApplication InsightsAzure FunctionsAzure OpenAI

Production-verified work is not claimed on this page unless explicitly marked in existing evidence data.

FAQ

Common questions before starting an engagement

Do you work remotely and with international clients?

Yes. Consulting is delivered remotely for clients in India and internationally, with communication and documentation aligned to agreed working methods.

How is project scope defined?

Scope is defined through a discovery conversation and then documented with boundaries, assumptions, deliverables, and responsibilities.

What deliverables should we expect?

Deliverables vary by engagement and can include architecture artifacts, implementation guidance, automation patterns, technical documentation, and handover sessions.

Who owns cloud and tooling access?

Client environments and access remain client-owned. Least-privilege access should be provisioned by the client for agreed consulting activities.

What does the engagement process look like?

Typical flow is discovery, planning, implementation, and handover. A practical cadence is agreed based on priorities, dependencies, and stakeholder availability.

Project Inquiry

Share your scope and delivery priorities

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