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I'm Valerio Valente, a Data Scientist and AI Engineer focused on LLM fine-tuning and RAG pipelines. I design, deploy, and optimize GenAI applications and LLMOps pipelines in regulated and industrial settings. I'm also passionate about building robust AI systems, generating evaluation data, and contributing to open-source tooling. I was recognized as a top 5 performer in an FDA challenge representing InSilicoTrials and enjoy mentoring peers in agile teams.…I'm Valerio Valente, a Data Scientist and AI Engineer focused on LLM fine-tuning and RAG pipelines. I design, deploy, and optimize GenAI applications and LLMOps pipelines in regulated and industrial settings. I'm also passionate about building robust AI systems, generating evaluation data, and contributing to open-source tooling. I was recognized as a top 5 performer in an FDA challenge representing InSilicoTrials and enjoy mentoring peers in agile teams.

Valerio Valente

Data Scientist, AI Engineer, AI Developer

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I'm Valerio Valente, a Data Scientist and AI Engineer focused on LLM fine-tuning and RAG pipelines. I design, deploy, and optimize GenAI applications and LLMOps pipelines in regulated and industrial settings. I'm also passionate about building robust AI systems, generating evaluation data, and contributing to open-source tooling. I was recognized as a top 5 performer in an FDA challenge representing InSilicoTrials and enjoy mentoring peers in agile teams.…I'm Valerio Valente, a Data Scientist and AI Engineer focused on LLM fine-tuning and RAG pipelines. I design, deploy, and optimize GenAI applications and LLMOps pipelines in regulated and industrial settings. I'm also passionate about building robust AI systems, generating evaluation data, and contributing to open-source tooling. I was recognized as a top 5 performer in an FDA challenge representing InSilicoTrials and enjoy mentoring peers in agile teams.

Available to hire

I’m Valerio Valente, a Data Scientist and AI Engineer focused on LLM fine-tuning and RAG pipelines. I design, deploy, and optimize GenAI applications and LLMOps pipelines in regulated and industrial settings.
I’m also passionate about building robust AI systems, generating evaluation data, and contributing to open-source tooling. I was recognized as a top 5 performer in an FDA challenge representing InSilicoTrials and enjoy mentoring peers in agile teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Data Scientist at InSilicoTrials Technologies SpA

April 1, 2024 - October 28, 2025

Designed and deployed LLM-based applications, including a multi-agent system with a Model Context Protocol (MCP) server. Generated and curated evaluation datasets for internal LLM benchmarking and improvement. Contributed to the mcpadapt open-source project, improving developer tooling for LLM adaptation workflows. Recognized as a top 5 performer in a FDA’s challenge, representing InSilicoTrials and demonstrating excellence in deploying AI solutions under regulatory standards. Built and deployed LLMOps pipelines enabling GenAI for tasks like optimization-by-prompting (OPRO), document parsing, and code generation. Collaborated in an agile environment, mentoring peers and conducting technical interviews.

Junior Data Scientist at Miraitek srl

April 1, 2024 - April 1, 2024

Developed a RAG-based retrieval agent leveraging AWS and vector search to automate document analysis workflows. Conducted vector database operations for knowledge indexing and semantic retrieval. Delivered BI dashboards in Apache Superset, improving decision-making efficiency for manufacturing clients.