Lead Manufacturing Data Scientist
I build the intelligence that powers the modern foundry.
15+ years at the intersection of metallurgical engineering and data science. I replace subjective legacy processes with predictive models, computer vision, and factory-scale digital twins.
About
Bridging Two Worlds
I operate at the intersection of traditional heavy industry and cutting-edge data science. With over 15 years of experience in metallurgical engineering and foundry management, I have transitioned from managing physical operations to architecting the digital systems that optimize them.
My mission is to eliminate "Data Debt" in manufacturing — replacing subjective legacy processes with high-fidelity predictive models, automated computer vision, and factory-scale simulations.
Predictive Analytics
Building ML models (NOSTRADAMUS) that forecast quality outcomes and prevent scrap before the first mold is poured.
Computer Vision
Developing custom AI tools (MIRU) for automated microstructural analysis — reducing QA cycle times from hours to seconds.
Digital Twins
Architecting high-fidelity factory simulations (FLUX) to optimize WIP, reduce lead times, and de-risk large-scale CAPEX investments.
Selected Work
CHF 5M+
Value Recovery
Resolved a critical metallurgical root-cause defect through SEM/EDX correlation and automated microstructural tracking.
BIOME
Production Intelligence Platform
Architected a unified ecosystem integrating SQL data pipelines with React-based analytical front-ends across the foundry.
AI.SEE
Visual Inspection
Leading site-wide deployment of AI-based visual inspection systems for gunmetal casting quality control.
Toolkit
Foundry
- Metallurgy
- DoE
- SPC
- Lean Six Sigma (DMAIC)
- APM/PLM
Data Science
- Python
- Pandas
- Scikit-learn
- TensorFlow
- SimPy
Architecture
- SQL
- PowerBI
- React
- FastAPI
- Astro
AI Orchestration
- Gemini
- Claude
- GPT-4
- Agent Workflows
- MCP
Contact
Always looking to connect with professionals at the forefront of Industry 4.0 and Smart Manufacturing.