Yes, I named my AI platform T-800. On purpose.
The Terminator is what every CFO secretly pictures when someone says "autonomous agents in our SAP system" — software with access to everything and permission from no one. I named my platform after it as a standing reminder of the design problem: the interesting part of enterprise AI isn't making agents smart. It's making them obedient. Provably, auditably obedient.
That's what I build.
I've spent 20+ years inside enterprise SAP — 34+ projects for Fortune 50 and Fortune 100 companies in automotive, healthcare, financial services, manufacturing, and rail. I've watched what happens to these systems when change is introduced carelessly, long before AI made it possible to introduce change carelessly at machine speed. So I build in the opposite order from most of the industry: governance first, capability second. Zero Trust boundaries, controlled tool access, human approval exactly where the rules demand it, and an audit trail that survives a compliance review.
Two platforms, both SAP-native, both built by me end to end:
T-800 puts governed AI agents to work on support operations — diagnosing and processing tickets from Knowledge Graph and RAG context, executing only through secured tools, and escalating to a human the moment the governance model says so. It resolves work without ever acting outside its authority. (Unlike its namesake.)
SafeBridge S/4 points the same architecture at the hardest item on most SAP roadmaps: getting from ECC to S/4HANA. AI agents read your legacy custom code and master data the way an archaeologist reads ruins — then support a specification-driven, staged, fully auditable migration toward a clean core.
I work solo and hands-on. Every architecture decision, every line of code, every page of documentation on this site comes from one accountable person — not a rotating delivery bench. If your board asks "who built this and can we trust it," the answer is a name, not an org chart.
The machines are coming to your SAP system either way. I make sure they ask permission first.
SAP S/4HANA, SAP ANALYTICS CLOUD, FiORI, SAP BTP, SAP HANA, SAP BW/4HANA, SAP FI/CO, SD, MM, PM
SAP Build, ABAP RESTful Programming Model, CDS Views, OData, REST APIs, SAP Gateway, SAP API Business Hub
SAP AI Core, SAP PAL/APL Libraries, TensorFlow, RAG with SAP HANA Cloud Vector Database, ISLM & ABAP GenAI SDK
ABAP, SQL, SQLScript, JavaScript, Python
Andrew and I worked together on a large FP&A solution engagement which involved a significant amount of complex technical challenges. His focus is always on getting the job done in the best possible way. He is patient and tenacious. Consummate professional and extremely knowledgeable in SAP space and AI technology.
It was my great privilege to have Andrew on my team at the PwC Solution Delivery Center and on other projects. He has a passion that drives him continuously explore new ways to solving problems and new ways of applying technologies. He takes a holistic approach to designing solutions by endeavoring to understand not just the requirements, but the intent of the business need driving the requirements. With this understanding he works diligently to find solutions that meet and often exceed the requirements while providing maintainable solutions that are delivered on time and on budget. He establishes himself as a trusted adviser very quickly on every team to which he is assigned. I would welcome him as a member of my team any time.
Team Lead, SAP Technical Expert, Lead Developer in SAP Analytics Cloud, SAP S/4HANA, Data Insights & Analytics
Team Lead in projects integration SAP Analytics Cloud (SAC) with BW/4HANA. Designed and implemented SAC models for Territory Sales Planning, Sales Forecasting, and Commissions with related KPI reports & dashboards including Predictive Analytics. Development SAC hybrid scenarios to set up integrated solution between SAC and SAP BW for income statement planning by profit center keeping data in SAP BW.
Team Lead in SAP Analytics Cloud project with leading-edge technologies to design and create Web-based reporting and visualizations interface for Sales Planning by Entity with workflow driven planning scenario.
Led implementation SAP Business Planning custom technical solutions for Cost Center Planning, Financial Consolidations, and Integrated Forecasting for one of the largest pharmaceutical companies in the world.
Deployed technology solutions of SAP Business Intelligence for Fortune 100 and 500 companies in Automotive, Chemical, Manufacturing, industries Health Care sector and Food Distribution
Specialization in Applied Mathematics and Computer Simulation
This certification verifies that participant possess the fundamental and core knowledge required of the SAP Analytics Cloud Data Analyst profile. This certification proves that the candidate has an overall understanding and technical skills to participate as a member of project team.
Those who earn the Google Data Analytics Professional Certificate have completed eight courses, developed by Google, that include hands-on, practice-based assessments and are designed to prepare them for roles in Data Analytics. They are competent in tools and platforms including spreadsheets, SQL, Tableau, and R. They know how to prepare, process, analyze, and share data for thoughtful action.
A comprehensive training curriculum covering basic through advanced programming with ABAP, including ABAP Workbench tools, object-oriented techniques, and performance optimization. Customize ABAP Development Tools (ADT). ABAP Development Tools' Code Completion Utilities and Templates.
