Simone Amoroso

Particle physicist (ex CERN) turned AI engineer/researcher. My home turf is large-scale data analysis and scientific computing: building pipelines, running experiments, and making messy reality measurable. These days I apply the same mindset to ML/LLM systems, with a focus on evaluation, reliability, and safety.

I keep here a small museum of random projects and experiments, from ML to hardware to signals to whatever rabbit hole I fell into next.

Skills

• Languages: Python, C++, SQL, Bash, FORTRAN, VHDL (and some TypeScript)
• ML libraries: PyTorch, HuggingFace, RAG (LangChain/LlamaIndex), evaluation/benchmarking
• Backend: FastAPI, vector DBs
• DevOps: Docker, CI/CD, MS Azure/AWS, Terraform