// AI Architecture & Consulting

Build with intention.
Scale with clarity.

I help teams move from AI prototypes to production systems: agentic workflows, cloud deployment paths, evaluation loops, and the operating discipline to keep them useful.

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// What I do

Enterprise AI that ships.

From architecture to production. I design and build the systems that move organizations from AI curiosity to operational AI.

01 —

Agentic AI Systems

Production-minded agents built with LangGraph, LangChain, Microsoft Agent Framework, Google ADK, MCP, Claude Code, and OpenCode. Designed around real tools, state, memory, and recovery.

Outcome: turn promising prototypes into inspectable agent workflows teams can run, improve, and trust.

LangGraphMCP Microsoft Agent FrameworkOpenCode

02 —

Cloud AI & DevOps

Azure AI Foundry, Vertex AI, Firebase, Docker, Kubernetes, and Terraform deployments with the operational scaffolding needed to ship AI systems reliably.

Outcome: give teams a deployment path with repeatable releases, clear ownership, and observable production behavior.

Azure AI FoundryVertex AI DockerKubernetes TerraformGrafana

03 —

Automation & Integrations

Workflow automation and data pipelines across n8n, Microsoft Graph API, Meta Graph API, Apify, Firecrawl, ServiceNow, Jira, SAP, and custom Node.js or Python services.

Outcome: connect fragmented tools into reliable workflows that gather data, trigger actions, and reduce manual operational drag.

n8nMicrosoft Graph ApifyFirecrawl ServiceNowJira
Discuss an AI Build

// Knowledge & Community

Teach a person to build.

Free access to the knowledge that matters. The goal is never gatekeeping: it's building a community of people who actually understand the tools they're working with.

Give someone a solution and you help them once. Teach them to build solutions and you change what they're capable of.

Deeper content, structured courses, and a community for those who want to go further, for a fair price.

// Free Resource

The Practitioner's Field Manual

The reference I wish someone had handed me three years ago. A grounded, honest walkthrough of the AI landscape in 2026 — what is actually possible, what is overhyped, what is dangerous to skip, and a 90-day path to becoming a real practitioner.

Not a prompt dump. No ten ChatGPT hacks. Written from years of production work at the intersection of enterprise AI and the discipline of building well.

What's inside

  • The 2026 AI landscape — three axes that changed everything
  • The four practitioner levels: User → Builder → Operator → Strategist
  • Two techniques that compound: Analogical Translation & Reverse Prompting
  • The five disciplines every serious practitioner runs on
  • When not to use AI — the decision matrix
  • Security & governance — the part nobody covers
  • A concrete 90-day practitioner's path
"Methods are many. Principles are few. The one who grasps the principles selects their own methods."

The currency at Level 4 is judgment. The market is flooded with operators. Strategists are rare. This manual shows you the path from one to the other.

Version 1.0 · 2026 · 15 pages · Free to share

// Selected Work & Experiments

Systems I've shipped.

A selection of public platforms, private tools, and field experiments across AI, DevOps, learning, and community systems.

AI Platform · Co-founder

MindRev

An AI-powered coaching and learning platform built on LangGraph orchestration. Features a personalized coach agent, onboarding flows, and a structured knowledge architecture designed for scale.

Personal Tool · Knowledge Architecture

Savitri

A personal knowledge management system built as a living second brain. Combines Obsidian, semantic retrieval via Supabase and pgvector, a custom MCP server, and automated capture pipelines into a unified intelligence layer.

Community Tool · Simulation & Tactics

Pucker Point

A ballistic calculator and fire mission management system built for the ARMA Reforger community. Handles call-for-fire workflows, range and deflection computation, and mission coordination for realism server operations.

Community · Archery Dojo

Dhananjaya Dojo

A training program and tracker built for the archery dojo, serving kids and adults in the local community. Includes a session logging app with an integrated AI sensei agent drawing on the Bhagavad Gita as its source of guidance.

AI Platform · Transformation Advisory

Ship It Right

An AI-powered production readiness and transformation advisory platform. Three assessment paths — Builder, Business, and PM — run parallel 8-domain analysis grounded in your session Knowledge Base. A single-click Web Search Report via Gemini 2.5 Pro synthesises cited, live-researched roadmaps with 90-day action plans.

Enterprise · AI Infrastructure Automation

InfraAgent

Agentic platform converting natural-language infrastructure requests into validated, deployable Bicep and Terraform. Multi-stage pipeline: NL understanding → code generation → security review → GitHub PR workflow → human approval gate, with WebSocket-driven real-time status streaming throughout.

Enterprise · AIOps & ITSM Automation

ADM-Agentic

Microsoft Agent Framework-based enterprise operations platform for SAP alert processing, ServiceNow automation, AI-assisted incident triage, and RAG-powered recommendation workflows. Deployed across global operations with OpenTelemetry observability.

Enterprise · GenAI ITSM Assistant

GADM Work Assistant

LangChain-based AI work assistant for incident management, ServiceNow workflows, SLA tracking, and autonomous notification handling. The GenAI foundation that seeded the Azure-native ADM-Agentic platform now serving global enterprise operations.

// Who I am

Hans — AI Solutions Architect

Hans

Developer / AI/ML Systems Architect / AIOps / DevOps

Architect. Builder. Student.

Senior Developer and AI Solutions Architect with a decade of experience building systems that operate at scale. I've led Agile AIOps teams through full enterprise development cycles, designing, architecting, developing, and deploying AI/ML systems across dozens of client accounts in healthcare, telecom, aerospace, and beyond.

My work lives at the intersection of multi-agent orchestration, cloud infrastructure, and practical AI implementation. I believe the most important thing in this moment is not just building powerful AI systems, but building people who understand them.

Zen Solutions is the platform I built to do both.

These are some of the services, tools, and software stacks I've spent hands-on time using to build automations, application integrations, and deployed agentic workflows.

AI & Agents

LangChainLangGraphMicrosoft Agent Framework Google ADKClaude CodeOpenCodeMCP

Cloud & DevOps

AzureAzure AI FoundryVertex AIFirebase DockerKubernetesTerraformLinux

Backend & Data

PythonNode.jsPostgreSQL RedisNeo4jSupabase

Automation & APIs

n8nMicrosoft Graph APIMeta Graph API ApifyFirecrawl

Observability & Ops

GrafanaAppDynamicsLightspeed

Enterprise Systems

ServiceNowJiraAtlassian SAPObsidian

// The Zen Signal

One signal. Every week.
Zero noise.

The AI and technology landscape generates more information than anyone can process. Every week, one curated dispatch on what actually matters — in AI, tools, leadership, and presence. For builders and thinkers who want clarity, not chaos.

No spam. Unsubscribe anytime.

// Let's Build

Ready to ship
something that matters?

Whether you're building enterprise AI, exploring what's possible, or looking to learn: the conversation starts here.

Schedule a Meeting Explore Free Tutorials

// Join the community