I'm Sam Paul Christon S — 8 years deep in SAP ABAP across HP Inc., SAP Labs, and L&T Valves. I know the plumbing of enterprise systems at a level most AI engineers never see.
Now I'm at SAP Labs, Bangalore building the AI layer on top of it — embedded agents, Joule functions, MCP servers, and the agent memory and telemetry infrastructure that makes them production-worthy.
The advantage: I don't need to reverse-engineer the enterprise context. I already know where the data lives, how the business logic works, and what breaks under load. I just make it talk to AI.
Embedded AI inside SAP — from Joule functions and MCP servers, through agent memory and telemetry, all the way to BTP deployment pipelines.
Designing agent flows that live inside SAP apps — reasoning over enterprise context, calling tools, and acting on behalf of users.
Extending SAP's copilot Joule with custom functions and skills — letting users invoke business logic in natural language.
Building Model Context Protocol servers that bridge SAP systems to LLMs — exposing data, tools, and prompts safely.
Persistent vector + episodic memory layers so agents recall conversations, user preferences, and long-running task state across sessions.
Observability for AI — token usage, cost attribution, latency, and quality metrics flowing into BTP dashboards for every agent call.
Designing and shipping the full deployment story — Cloud Foundry / Kyma, automated pipelines, blue-green rollouts, and zero-downtime releases on BTP.
End-to-end SAP engineering — from ABAP cloud development and S/4 migrations to BTP integrations, workflow automation, AI engineering, and Fiori analytics.
Your SAP applications get a native AI layer — agents that reason, decide, and act on behalf of users, powered by your enterprise data.
Clean, tested ABAP Cloud code that runs lean — RESTful services, CDS-powered analytics, and bulletproof OData APIs built to last.
ECC to S/4HANA transformations that land clean — zero data loss, full reconciliation, and up to 40% faster data loads post-cutover.
A production-ready BTP environment your team can actually operate — services wired, auth hardened, and CI/CD running from day one.
Processes that used to need humans don't anymore — cross-system flows automated end-to-end with built-in error handling and audit trails.
Dashboards stakeholders actually use — fast, mobile-ready Fiori apps built on live CDS data, with e-invoicing compliance baked in.
Enterprise-proven. AI-native. End-to-end SAP coverage — without handoffs, without ambiguity.
Production code running at HP Inc. across Greece, Israel, and Poland — DRC e-invoicing compliance shipped to 3 countries without a single go-live incident.
Already shipping at SAP Labs — Joule functions, MCP servers, and agent memory in production, not in a side project. AI is my day job, not a certification I'm chasing.
ABAP Core to BTP Cloud to Embedded AI — I've worked every layer. At L&T Valves I built RFC-to-Salesforce sync, PI/PO interfaces, and FI event flows in the same project.
At HP Inc., I delivered a full RAP service with CDS view, OData API, and Fiori binding in a single sprint — reviewed, tested, and merged to production.
SAP-certified in both ABAP Cloud and Generative AI Development — two of the hardest certifications in the SAP ecosystem, not just experience claims on a resume.
I've handled IS-OIL domain incidents through the Joule copilot layer — which means explaining AI system behaviour to domain experts who don't care about the model, only the outcome.
Open to SAP AI engineering roles, BTP innovation projects, and embedded agent collaborations. I reply within 24 hours — let's talk.
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