Turning data into meaningful experiences.
I am an AI Engineer and Data Scientist driven by the challenge of turning complex data into seamless human experiences. My approach to technology is simple: build with purpose, code with discipline, and never stop learning.
I'm a Data Scientist at SAP, working in the Language Experience Lab to evolve AI-powered translation solutions for SAP products across multiple languages globally. My path combines rigorous AI engineering with deep knowledge of the SAP ecosystem.
Previously, I was an Analytics Consultant at SAP, working with 30+ global clients on SAP Datasphere, SAP Analytics Cloud, and AI-powered analytics. I was internationally recognized at SAP InnoWeeks 2025 (Best Implementation + Best Pitch) and the Brand Data Challenge 2025 (Ambassador Award).
I work daily with LLMs, RAG pipelines, embeddings, vector stores, and integration with SAP BTP and SAP AI Core. As part of the BTP Technical Services Fellowship, I contribute to strategic AI initiatives and state-of-the-art Prompt Engineering research within SAP.
Thoughts on AI systems, engineering patterns, and retrieval-augmented generation — published on Medium.
How timeless software design patterns — Strategy, Observer, Factory and others — translate into robust, maintainable architectures for modern AI systems built with LLMs and agents.
Read on MediumA deep dive into retrieval optimization strategies — hybrid search, re-ranking, chunk sizing — alongside the evaluation metrics that actually matter for measuring RAG pipeline quality.
Read on MediumProjects combining solid engineering with applied data science.
AI-powered clinical assistant that suggests medications and exams based on patient data. Combines RAG with vector search (FAISS), an LLM via Groq (LLaMA3 70B), and programmatic allergy filters — delivering safe, auditable medical recommendations.
Full microservice with FastAPI integrating an ML model for real estate price prediction and full PostgreSQL CRUD, containerized with Docker and interactive Swagger documentation.
End-to-end analytics pipeline: online sales data ingestion into SAP Datasphere, Python-based transformations, and predictive dashboards in SAP Analytics Cloud with business KPIs and interactive filters.
Advanced SQL solution using materialized views, triggers, and stored procedures for automatic monthly sales aggregation and employee title change auditing in PostgreSQL + Docker.
Advanced analytics on the Northwind ERP database with reusable SQL views for revenue analysis, customer spend segmentation and product performance. Docker-powered for full portability.
From corporate IT to AI Engineering within the SAP ecosystem.
Member of the SAP Language Experience Lab, driving AI-powered translation solutions for SAP products across multiple languages at global scale. I work at the intersection of AI Engineering and Data Science, focused on Large Language Models, RAG pipelines, and cloud infrastructure integration.
Delivered industrial projects at the intersection of Data Science, Data Engineering, and AI within the SAP ecosystem. Concurrently served as a fellow in the BTP Technical Services team, contributing to strategic AI initiatives for automation and innovation across SAP's foundational services.
Member of the Global Digital Collaboration Team, using German and English daily to deliver digital solutions across the STIHL group worldwide. Participated in international onboarding at STIHL headquarters in Germany.
Rotated across Applications, Help Desk, and Infrastructure areas, gaining hands-on experience with SAP, intranet development, and enterprise technical support.
Interested in discussing AI, Data Science, SAP solutions, or anything at the intersection of technology and impact — reach out through any of the channels below.
Working on AI-powered solutions at the SAP Language Experience Lab, with a focus on LLMs, RAG pipelines, and embedding-based workflows that improve translation quality and efficiency at global scale.