Profile

AI and technology leader with 10+ years designing, building, and scaling production AI systems across automotive, rail, health-tech, and logistics. Span the full stack - research, architecture, MLOps, and executive strategy ? with deep experience in large, multi-user platforms built for security and compliance (ISO/IEC 27001, GDPR, EU AI Act). Two invention disclosures, a peer-reviewed ETH Zürich publication, and a track record of leading cross-functional data science teams.

KEY ACHIEVEMENTS

• Filed 2 invention disclosures on failure prediction and recalibration in robotics at Siemens AG, Erlangen (2019?2020).
• Invited speaker at ETH Zürich's Intelligent Maintenance Conference (2021).
• Architected a reusable AI framework across Siemens Mobility's global Railigent platform, cutting CI/CD time ~40% and proof-of-concept lead time ~50%.
• Built agentic AI and LLM/RAG systems at Siemens Healthineers that cut search and investigation time for 100+ staff from hours to minutes.
• Drove Agile transformation as interim CTO at EPA Images, delivering six-figure cost savings and defining AI product strategy from the ground up.
• Delivered an OCR-to-API pipeline for SpediPro that automated invoice and shipment extraction, eliminating manual data entry for 5 customers and 50+ staff.

CORE SKILLS & TECHNOLOGIES

ML / AI

• LLM 
• RAG 
• GPT 
• Transformers 
• LSTM 
• CNN 
• RNN 
• Reinforcement Learning 
• Computer Vision 
• NLP 
• Predictive Maintenance 
• Anomaly Detection 
• Image Segmentation

Frameworks

• PyTorch 
• TensorFlow 
• Keras 
• Scikit-learn 
• LangChain 
• OpenCV 
• Hugging Face 
• MLflow

Cloud & MLOps

• Azure (ML)
• Databricks
• Snowflake 
• AWS (S3, Athena, Lambda, EC2) 
• Kubernetes 
• Docker 
• GIT 
• Jenkins 
• CI/CD

Viz & BI

• Tableau 
• Power BI 
• Spotfire 
• Matplotlib 
• Seaborn

Methods

• Scrum 
• SAFe 
• Kanban 
• OKRs 
• Architecture Reviews 
• Patent Disclosures

Security & Compliance

• ISO/IEC 27001 
• GDPR 
• EU AI Act 
• RBAC / Access Control 
• Audit Trails 
• Data Minimisation 
• Encryption

Work Experience

Customer: Siemens Healthineers

Tasks:

Agentic AI Platform 

• End-to-end RAG/GPT system on Azure (LangChain, Databricks, Snowflake, Neo4j Knowledge Graph) enabling semantic retrieval of spare-parts manuals and incident reports.

Customer: Siemens Mobility

Tasks:

AI Framework for Railigent IoT Platform 

• Reusable CLI + CI/CD + MLflow framework (Python, Kubernetes, Docker, AWS) enabling standardised model development and one-click deployment for 10+ active projects.

Customer: Siemens Mobility

Tasks:

Computer Vision ? Track & Vehicle Inspection 

• CNN + OpenCV pipelines on AWS for obstacle detection, crack identification, and labelling tooling ? achieving real-time video inference on rail infrastructure footage.

Customer: SpediPro

Tasks:

OCR Document Extraction API 

• Production OCR pipeline (Python, Tesseract, custom CNN) extracting structured fields from logistics PDFs with a REST API integration into the client ERP system.