Most AI researchers can't ship. Most engineers can't research. I do both — end to end.

I'm a PhD Researcher at Danube Private University (Austria) working on Advanced Deep Learning for X-Nuclei MRI Super-Resolution, with 6+ years of experience building production software systems.

I build complete AI solutions—from research to deployment:

• Deep Learning: CNNs, Vision Transformers, Diffusion Models
• Production AI: FastAPI, Docker, AWS
• MLOps: MLflow, CI/CD, Model Monitoring
• Explainable AI: Grad-CAM++, SHAP, Bayesian UQ

My work spans Medical Imaging, Computer Vision, NLP, Biofuel Optimization, Fraud Detection, and Intelligent Transportation. I believe research should create real-world impact, so every model I build is designed with production in mind.

Current Research: Super-Resolution reconstruction for ²³Na, ³¹P, and ³⁹K MRI, enabling improved metabolic imaging for early diagnosis of cancer, stroke, and neurodegenerative diseases.

Previous Research: Machine Learning optimization for Biofuel LCA using NSGA-II, Bayesian Optimization, and Surrogate Modeling.

Publications: 3 IEEE Scopus-indexed papers • 2 Q1 Journal papers

Recognition: Gold Medal (iNVENTEX 2025) • 3MT Finalist • Fully Funded GLU Grant • QWorld Quantum Bronze

Open Source: Maintainer of awesome-x-nuclei-super-resolution

Currently looking for collaborations where I can own the entire AI lifecycle—from research and model design to production deployment.