Senior MLOps & GenAI Engineer
Senior engineer at the intersection of Machine Learning, MLOps and Generative AI. Currently co-founding an EXIST-funded startup for intelligent Oracle database anomaly detection, previously Lead Data Scientist at Capgemini delivering data science solutions to industrial clients.
Currently building an EXIST-funded startup · Ex-Capgemini · TensorFlow Certified
About
I help companies design and ship production-grade ML and GenAI systems — from classical anomaly detection and time-series modelling to LLM-based multi-agent architectures with RAG, fine-tuning and MCP.
My background combines deep technical hands-on experience (TensorFlow Developer Certified, 6+ years Python) with industrial domain knowledge from a dual Bachelor in Industrial Engineering and production planning experience.
I have successfully rolled out GenAI products, led a development team at a top German automotive OEM, and am currently building the technical core of an EXIST-funded AIOps startup.
6+
Years experience
4
Conference talks
4
Certifications
What I help with
GenAI & LLM Engineering
RAG architectures, fine-tuning, multi-provider gateways, MCP tool integration, observability and guardrails.
MLOps & ML Lifecycle
Experiment tracking, model versioning, workflow orchestration, reproducibility.
Anomaly Detection & Predictive Analytics
Classical ML methods, deep-learning time-series models, root-cause analysis pipelines.
Database-adjacent ML/AI
Oracle performance data, AWR/ASH analytics, SQL governance.
Selected work
Anomaly Detection & Root-Cause Analysis Platform for Oracle Databases
Own startup (EXIST-funded)
Feb 2025 – present · Database / Enterprise IT · Co-Founder & Head of AI/ML
Building the technical core of an intelligent assistant for database administrators — ML/DL-based anomaly detection on Oracle system metrics combined with an LLM-driven root-cause analysis pipeline.
Highlights
- ·End-to-end ML/DL pipeline from raw Oracle metrics to actionable diagnostics
- ·Multi-provider LLM gateway with on-premise option for enterprise customers
- ·Three pilot customers in production trial
Procurement Modernization Platform for a Premium Automotive OEM
Leading German premium automotive manufacturer
March 2024 – February 2025 · Automotive · Lead Python Developer & Data Scientist
Technical lead of a 4-person team building a platform for automated component evaluation and quotation creation, embedded in a 50–70 person procurement digitalization programme.
Highlights
- ·Led technical implementation across a multi-year engagement (mandate renewed multiple times)
- ·Combined GPT-4 reasoning with graph-database analytics for BOM intelligence
- ·Consistently positive feedback from business users
Generative AI R&D — Trustworthy GPT-4 Advisor (Hannover Messe 2023)
Capgemini (internal R&D, public showcase)
October 2022 – June 2023 · R&D / Industrial GenAI · Consultant — Data Science / GenAI
Co-developed a multimodal industrial advisor combining GPT-4, computer vision and speech to evaluate physically built Lego structures against rule sets — showcased at Hannover Messe 2023.
Highlights
- ·Public showcase at Hannover Messe 2023
- ·Multimodal pipeline integrating vision, language and speech
Anomaly Detection PoC for IT Infrastructure (AIOps)
ORDIX AG (internal)
April 2022 – September 2022 · Database / IT Infrastructure · Junior Consultant
Comparative study and PoC implementation of anomaly detection algorithms on database system metrics; resulted in a co-presented DOAG 2022 talk.
Highlights
- ·DOAG 2022 conference contribution from PoC findings
Tech stack
GenAI & LLM Engineering
Machine Learning & Deep Learning
MLOps & ML Lifecycle
Backend & APIs
Databases
Cloud & Infrastructure
Frontend (supporting)
Methods & Domain
Talks & Publications
Generative AI in Intelligent Industry — Capgemini Trustworthy GPT-4 Advisor
Hannover Messe 2023 · Co-speaker
From Performance Signature to AIOps
DOAG 2022 · Co-speaker
Artificial Intelligence as Artist — How modern algorithms generate music
IT-Tage 2021 · Solo speaker
Inside the Black Box of Machine Learning
IT-Tage 2020 · Co-speaker (workshop, team of 3)
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