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I am Stefano Segni, an AI Engineer and Data Scientist with over 3 years of experience developing machine learning, deep learning, and generative AI solutions. I specialize in LLM fine-tuning and RAG-based architectures, and I have deployed ML systems on Azure with strong MLOps practices. I enjoy translating business needs into data-driven solutions, with a proven track record of improving customer retention, lead conversion, and operational efficiency. I have collaborated with tech startups and industrial environments, and I thrive in remote, cross-functional teams.…I am Stefano Segni, an AI Engineer and Data Scientist with over 3 years of experience developing machine learning, deep learning, and generative AI solutions. I specialize in LLM fine-tuning and RAG-based architectures, and I have deployed ML systems on Azure with strong MLOps practices. I enjoy translating business needs into data-driven solutions, with a proven track record of improving customer retention, lead conversion, and operational efficiency. I have collaborated with tech startups and industrial environments, and I thrive in remote, cross-functional teams.

Stefano Segni

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am Stefano Segni, an AI Engineer and Data Scientist with over 3 years of experience developing machine learning, deep learning, and generative AI solutions. I specialize in LLM fine-tuning and RAG-based architectures, and I have deployed ML systems on Azure with strong MLOps practices. I enjoy translating business needs into data-driven solutions, with a proven track record of improving customer retention, lead conversion, and operational efficiency. I have collaborated with tech startups and industrial environments, and I thrive in remote, cross-functional teams.…I am Stefano Segni, an AI Engineer and Data Scientist with over 3 years of experience developing machine learning, deep learning, and generative AI solutions. I specialize in LLM fine-tuning and RAG-based architectures, and I have deployed ML systems on Azure with strong MLOps practices. I enjoy translating business needs into data-driven solutions, with a proven track record of improving customer retention, lead conversion, and operational efficiency. I have collaborated with tech startups and industrial environments, and I thrive in remote, cross-functional teams.

Available to hire

I am Stefano Segni, an AI Engineer and Data Scientist with over 3 years of experience developing machine learning, deep learning, and generative AI solutions. I specialize in LLM fine-tuning and RAG-based architectures, and I have deployed ML systems on Azure with strong MLOps practices.

I enjoy translating business needs into data-driven solutions, with a proven track record of improving customer retention, lead conversion, and operational efficiency. I have collaborated with tech startups and industrial environments, and I thrive in remote, cross-functional teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Spanish; Castilian

Fluent

English

Advanced

Work Experience

Data Scientist / ML Engineer at JRF Freelance Scientist

February 1, 2023 - October 3, 2025

Developed a customer churn prediction model using supervised ML (XGBoost, Random Forest), reducing churn by 25%.

Data Scientist / ML Engineer at JRF Freelance Scientist

February 1, 2024 - October 3, 2025

Remote engagement in Texas; continued development of churn prediction model and data pipelines, improving model performance and deployment efficiency.

AI Engineer at Parsec (Industrial Technology Company)

November 30, 2024 - October 3, 2025

Lead end-to-end GenAI project with a cross-functional team, implementing RAG techniques and AI agents to enhance company-wide productivity and information analysis. Designed and deployed scalable architectures on Azure using Docker and MLflow. Built multi-LLM orchestration-based chatbots, NLP pipelines for semantic extraction from legal and technical texts.

AI Engineer at Parsec (Industrial Technology Company)

September 30, 2025 - October 3, 2025

Continue GenAI initiatives including building NLP pipelines and scalable Azure architectures; remote work contributing to company-wide productivity improvements and advanced AI capabilities.