Summary
Milad Nourizade is an AI Engineer based in Turin with eight years of experience building and fine-tuning NLP and transformer models for clinical and enterprise use cases. He has a proven track record with BioBERT, BART, Long T5 and LoRA-enabled fine-tuning, and has implemented RAG and LLM-driven pipelines to extract structured summaries from long patient reports. At BioSpark he engineered scalable Azure pipelines that normalized 117K+ medical entities to RxNorm, SNOMED and ICD-10 and used Ray Tune (PBT) to optimize T5/BART models for cancer stage classification. Comfortable moving models from research to production, he pairs prompt engineering and retrieval strategies with interactive visualizations (D3.js) to make complex outputs actionable. His background spans academic research in network analysis to hands-on freelance NER and multi-label classification projects, reflecting a blend of domain expertise and practical deployment experience.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Universitร degli Studi di Padova
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Urmia University of Technology
English, Persian