AI / Machine Learning

Here's how **Nicolas Thorstensen's** qualifications match the **job requirements**:  

### **✅ Must-Haves**  

✔ **MS/PhD in a relevant field**  
- PhD in **Applied Mathematics** (École Nationale des Ponts et Chaussées)  
- MSc & BSc in **Computer Science** (TU Vienna)  

✔ **Industry experience in ML (1+ years)**  
- **RAG Consultant** at **Ontec** (Implemented RAG framework)  
- **CTO at D-ARIA** (ML, robotics, and AI applications)  
- **Founder of IVISO GmbH** (Engineering in mobile robotics & AI)  

✔ **ML model deployment & evaluation**  
- Worked on **model deployment** & optimization (RAG, AI applications)  
- Experience in **numerical optimization & signal processing**  
- **Microwave tomography & inverse problems** (ML for medical imaging)  

✔ **Strong Python & deep learning** (PyTorch, TensorFlow, JAX)  
- Proficient in **Python, C++, CUDA**  
- **ML & Computer Vision** experience (DNN/CNN, sensor fusion, SLAM)  

✔ **Ability to work in evolving project environments**  
- Multiple **CTO/founder roles** (startups & consulting)  
- Managed **R&D grants & projects** (up to 800K EUR funding)  

✔ **Good communication skills (Technical & non-technical)**  
- **University lecturer & assistant professor** (Vienna University, TU Vienna)  
- Industry talks & presentations (SIAM, IPAM-UCLA)  

✔ **Fluent in German & English**  
- Native/Professional fluency in **German, English, French, Spanish**  

### **? Bonus Skills & Interests**  
✔ **Experience in RAG (Retrieval-Augmented Generation)**  
✔ **Experience with NLP & semantic document processing**  
✔ **Experience in robotics & sensor fusion** (useful for document processing automation)  

### **? Possible Gaps**  
- No direct mention of **frontend/backend engineering**  
- No explicit experience in **LLM fine-tuning** (though ML & NLP expertise is strong)  

**Overall:** Nicolas seems like a **strong candidate** for the role, with **deep ML expertise, leadership experience, and strong academic & industry background.** If he has some experience in **ML model deployment and LLM fine-tuning**, he’d be an **excellent fit!** ?  

Would you like me to refine this further or help tailor an application? ?