SAP implementation & integration
From HCM/HR and SuccessFactors to BTP CPI — turning business processes into operable systems.
- SAP HR/HCM · SuccessFactors EC
- BTP Integration Suite / iFlow
- Clean Core · ABAP · OData
15 years across SAP and enterprise-system architecture, implementation and operations. Currently an SAP HR / AI technical consultant at IBM, building MCP servers, agents and full-stack tools that move AI from demo to production.
Not three separate résumés — SAP, AI and full-stack engineering closing the loop in one project.
From HCM/HR and SuccessFactors to BTP CPI — turning business processes into operable systems.
Connect agents, MCP and RAG to real systems — with evals and guardrails that make them shippable.
Not just go-live — owning alerts, incidents, change and the iterations that follow.
Three public MCP and agent tools covering SAP ABAP, Integration Suite and an HR workspace. Source is open to inspect and deployment steps are reproducible.
A local MCP server that exposes SAP ADT search, source reading, syntax diagnostics and controlled deployment to AI coding assistants — with design, dev and test subagents guarding Clean Core boundaries.
OverviewAn enterprise MCP server for SAP Cloud Integration: inventory packages and iFlows, export source, deploy, read runtime logs and drill into failures — all inside an AI conversation.
OverviewA modular workspace for recruiters, HRBPs, SSC, C&B and HR directors. Plugin agents turn resume screening, JDs, interview guides, offers, automation monitoring and notifications into one traceable pipeline.
OverviewRepresentative, anonymised projects. Client names, internal details and evidence are not published here.
Wrapped SAP data dictionary, functions and transport requests into an MCP server, connected to AI coding assistants, and built a multi-role agent pipeline from analysis to code, tests and deployment checks.
Connected an AI orchestration engine to CPI through enterprise APIs, turning iFlow configuration and mapping into a loop of contract parsing, flow generation, one-click deployment and automated verification.
Designed the enterprise integration blueprint around Employee Central, connected dozens of branches through BTP CPI, and completed a compliant migration and interface rebuild for sensitive HR data.
Owned high-concurrency ERP operations and enhancements, leading CS after-sales, engineer dispatch, membership billing reports, interfaces and enhancements.
Built for AI pilots, SAP integration go-lives and managed operations. Every step has an acceptance artifact.
Interview the key roles, map system/data/process constraints, and rank opportunities with a pilot recommendation.
In 2–4 weeks, ship one narrow workflow on real data. Look at outcomes before building a platform.
Connect SAP and business systems; add permissions, audit, evals, monitoring and failure handling.
Leave architecture, runbooks, alerts and rollback paths. The team can own it — or I can keep operating it.
I own Chinese, Korean and English directly; Japanese is delivered with project partners. Cross-border experience spans Korea, Thailand and APAC clients.
A four-language site is not a claim of four native languages. I will be explicit about language coverage, partners and ownership in our first call.
All three tools live on GitHub with four-language READMEs, connection diagnostics and smoke tests. Open an issue when stuck; new tools keep coming.
No LICENSE is attached yet, so these are source-available. Contact me before commercial use, redistribution or embedding.
15 years in SAP and AI engineering. Target roles: AI architect, AI full-stack engineer, SAP & AI specialist. Full CV and project details on request.
Request the full CVFrom a two-week diagnosis to an eight-week pilot — validate one workflow before scaling investment.
Discuss an AI pilotTell me the current state, the outcome you need and your timeline. I reply within 24–48 hours and start with whether it is worth doing — and the fastest path.