AJ
AJ Assistant
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AJ
Architect · Builder · Orchestrator

SAP S/4HANA Architect · SAP RISE · Clean Core · BTP · AI Generalist & Orchestrator

SAP S/4HANA Architect

AJ

Building Intelligent Systems at the Edge of SAP and AI — from enterprise S/4HANA architecture to agentic AI infrastructure that runs itself.

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18+
Years SAP
15+
AI Services
Knowledge Graph
Agents Live
Agentic RAG Pipelines Transformer Inference at the Edge Multi-Agent Orchestration Vector Embedding Space · Qdrant S/4HANA Clean Core Architecture Context-Aware Prompt Routing Deterministic Execution Graphs LLM Observability · LangFuse SAP BTP AI Core · GenAI Hub Chain-of-Thought Orchestration Semantic Agent Handoff Protocol ABAP for SAP HANA · Certified Agentic RAG Pipelines Transformer Inference at the Edge Multi-Agent Orchestration Vector Embedding Space · Qdrant S/4HANA Clean Core Architecture Context-Aware Prompt Routing Deterministic Execution Graphs LLM Observability · LangFuse SAP BTP AI Core · GenAI Hub Chain-of-Thought Orchestration Semantic Agent Handoff Protocol ABAP for SAP HANA · Certified

Driving Digital &
Intelligent Enterprise Transformation.

I'm a SAP S/4HANA Technical Architect with 18+ years of enterprise experience — global S/4HANA rollouts, enterprise consulting, complex ABAP landscapes — and an obsession with making those systems genuinely intelligent.

On the enterprise side: Clean Core ABAP, S/4HANA, SAP RISE, BTP, Fiori, and SAP AI Core — SAP certified since 2009, HCP/IoT Hackathon winner, multiple delivery excellence awards. On the AI side: a self-hosted inference cluster running agentic RAG pipelines, transformer models at the edge, multi-modal agent meshes, and vector embedding spaces — all on personal hardware, all observable, all in production.

Most architects know SAP. Most AI engineers don't. I'm the intersection. That's the edge.

// Enterprise
ABAP S/4HANA SAP RISE Clean Core SAP BTP AI Core GenAI Hub Fiori
// AI / Infra
Python LLM Agents RAG / Qdrant LangFuse n8n Docker Terraform
aj@hub ~ system.status
aj status --verbose
 
role S/4HANA Architect · BTP · AI
experience 18+ years enterprise SAP
focus SAP RISE · Clean Core · AI Core
background Enterprise Consulting
 
# Active AI Stack
inference Local · GPU-backed
models Multi-model · rotating pool
agents orchestrating
memory Vector store · live
traces Observability · live
uptime Always-on
 
certs "ABAP HANA · Fiori · S/4"
status ACTIVE · CONSULTING

Open the box.

Enterprise SAP, inference clusters, agent meshes — decades of depth across domains. Battle-tested, iterated in production, not assembled from a tutorial.

Complexity · Advanced
Hermes + Odysseus Agent Mesh
Custom inter-agent communication protocol on Docker overlay networks. Hermes is a typed message broker; Odysseus is the agent execution framework. Agents subscribe to channels, execute stateful multi-step sessions, and emit typed completion events — solving agent coordination without third-party frameworks that couldn't handle stateful sessions.
Python Docker Overlay Message Protocol
Complexity · Advanced
Agentic Listing Evaluation Pipeline
5-stage agentic pipeline: ingestion → configurable qualification gates → LLM relevance scoring → human review checkpoint → Jira tracker. Surfaces high-confidence matches in a periodic digest. n8n orchestration, Ollama inference, structured observability at every step.
n8n · Ollama Qualification Gates Human Checkpoint 5 configurable gates
Complexity · Advanced
SAP BTP + AI Core — IaC Deployment
Full Terraform IaC for SAP AI Core on BTP: subaccount provisioning, role collections (sap.default origin binding), resource groups, GenAI Hub LLM deployments, HANA Cloud, and AI Launchpad. Diagnosed and resolved an undocumented role-origin binding bug that had no SAP documentation — required reverse-engineering BTP IAM behavior.
SAP BTP Terraform AI Core · GenAI Hub HANA Cloud
Complexity · Mid-Senior
Full-Stack LLM Observability Layer
Custom instrumentation wrapping every AI call across 6 services — Groq, Ollama, Claude, LiteLLM all emit structured traces with session IDs, token counts, latency breakdowns, and cost attribution. Includes a post-session reflect agent (reflect.js + Groq) that auto-extracts learnings from traces and persists to vector memory. Every pipeline run is fully auditable.
LangFuse Custom Instrumentation 6 LLM Providers
SAP Official · 2016 Winner
SAP HCP / IoT Hackathon — 1st Place
Won SAP's official HCP/IoT Hackathon in Bengaluru (2016) among 16 competing teams. Built a real-time IoT sensor pipeline on SAP HANA Cloud Platform — ingesting device telemetry, processing in-stream on HANA XS, and surfacing live insights on a Fiori UI5 dashboard. Pre-commercial tooling meant building most of the integration layer from scratch.
SAP HCP HANA XS SAP IoT SAPUI5 1st of 16 teams

How I can help.

Strategic advisory at the intersection of SAP expertise and AI capability.

SAP Architecture Advisory
S/4HANA design, ABAP modernization, and BTP integration strategy for enterprises navigating complex SAP transformations.
// strategic advisory
AI Integration
Connecting LLMs, agents, and AI pipelines to enterprise systems. RAG, vector search, agentic workflows — built for production, not demos.
// full implementation
AI Infrastructure
Self-hosted AI stacks, observability layers, and agent orchestration. From architecture to running deployment — I've built it for myself, I can build it for you.
// infrastructure design

Let's build something.

SAP architecture consulting, AI integration projects, and technical conversations with people who want to move fast and build things that matter.

PROFILE STATUS
Live
Core Expertise SAP / ABAP / AI
Experience 18+ Yrs Enterprise SAP
Workflows n8n · automated
Inference Local LLM · Ollama
Orchestration Multi-agent mesh
Deep dives Landing soon — optimizing stack