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Paolo Grossi

@paologrossi

I build production LLM products, RAG systems, and AI agents from ambiguous goals to live features.

At Qura, I build the TypeScript engine behind an AI assistant for conversational chat, proactive messaging, and clinical and user-journey creation. I’ve also shipped nutritionist and GLP-1 products end to end, owning both backend and frontend.

Previously at Chiesi Group, I led R&D AI and data science work that cut conference-data distribution time by 70%, automated document cataloguing at 96% reliability, and built a clinical-study model reaching 85% accuracy. I care about evals, cost, adoption, and turning ambiguous product goals into systems people use.

Experience

Work history, roles, and key accomplishments

Current

Founding AI Engineer

Current

Qura

Apr 2026 - Present (5 months)

Built the engine behind the company's AI assistant in TypeScript, including conversational chat, proactive messaging, and automated clinical and user-journey creation. Shipped two products 0-to-1, owning backend and frontend end to end.

TypeScript LLM RAG AI Agents Prompt Engineering Fullstack Development Product Development

R&D AI & Data Scientist Lead

Chiesi Group

May 2020 - Sep 2025 (5 years 4 months)

Led AI and data science initiatives in pharma R&D, building NLP automation that cut a data-distribution workflow by 70% and an ML cataloguing system that replaced 10 manual selectors at 96% reliability. Developed an interactive platform for publication workflows and grew business-intelligence adoption from 10 to 150 users per month.

NLP Machine Learning Python PySpark Pandas Data Strategy Stakeholder Management Business Intelligence

IT & Data Science Junior

Chiesi Group

May 2018 - Apr 2020 (1 year 11 months)

Delivered early data-science and IT projects that led to the R&D AI & Data Scientist Lead role, building the ML, data and stakeholder foundations later scaled across the department.

Data Science Machine Learning Python Stakeholder Management