AI Engineer and Applied Data Scientist with experience designing, deploying, and operating end-to-end data science and generative AI solutions. Specialized in Retrieval-Augmented Generation (RAG), production-grade ML pipelines, and AI assistants integrated with real-time data sources. Strong background in applied machine learning, NLP, computer vision, and data engineering, with hands-on experience across the full model lifecycle: data ingestion, analysis, feature engineering, model development, evaluation, and deployment in cloud environments. Experienced in building scalable, reliable, and compliant AI systems, with a particular focus on Responsible AI, regulatory compliance (EU AI Act, GDPR), and production readiness. Comfortable working independently on remote freelance projects and collaborating with distributed, cross-functional teams to deliver data-driven impact.

Agustina Rocca

PRO

AI Engineer and Applied Data Scientist with experience designing, deploying, and operating end-to-end data science and generative AI solutions. Specialized in Retrieval-Augmented Generation (RAG), production-grade ML pipelines, and AI assistants integrated with real-time data sources. Strong background in applied machine learning, NLP, computer vision, and data engineering, with hands-on experience across the full model lifecycle: data ingestion, analysis, feature engineering, model development, evaluation, and deployment in cloud environments. Experienced in building scalable, reliable, and compliant AI systems, with a particular focus on Responsible AI, regulatory compliance (EU AI Act, GDPR), and production readiness. Comfortable working independently on remote freelance projects and collaborating with distributed, cross-functional teams to deliver data-driven impact.

Available to hire

AI Engineer and Applied Data Scientist with experience designing, deploying, and operating end-to-end data science and generative AI solutions. Specialized in Retrieval-Augmented Generation (RAG), production-grade ML pipelines, and AI assistants integrated with real-time data sources.

Strong background in applied machine learning, NLP, computer vision, and data engineering, with hands-on experience across the full model lifecycle: data ingestion, analysis, feature engineering, model development, evaluation, and deployment in cloud environments.

Experienced in building scalable, reliable, and compliant AI systems, with a particular focus on Responsible AI, regulatory compliance (EU AI Act, GDPR), and production readiness. Comfortable working independently on remote freelance projects and collaborating with distributed, cross-functional teams to deliver data-driven impact.

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Language

English
Advanced
Spanish; Castilian
Fluent

Work Experience

Generative AI Engineer (Freelance) at Blue Field Agency – AI Solutions & Digital Innovation (Amsterdam)
October 1, 2025 - December 31, 2025
Developed a data pipeline for a generative AI customer-support assistant by integrating real-time data from the Schiphol Public Flights API. Built end-to-end ingestion, cleaning, and transformation workflows, implemented incremental synchronization with Azure SQL using optimized MERGE operations, and automated updates to Azure OpenAI Vector Stores. Enabled real-time Retrieval-Augmented Generation (RAG) responses with low latency and high availability through a hybrid scheduling system.
AI Engineer | Responsible AI Specialist at Accenture – Technology, AI & Digital Transformation Consulting
December 29, 2025 - Present
Developed and deployed generative AI assistants within the Fundaula-AlexandrIA educational platform using RAG architectures, GPT-4, and automated query workflows. Led the technical implementation of Responsible AI controls, including traceability, security measures, risk mitigation, and adversarial testing. Ensured compliance with European AI regulatory frameworks, focusing on governance, transparency, and safe AI deployment in production environments.
Applied Data Scientist at Topciment – Construction & Decorative Coatings (Valencia)
December 29, 2025 - Present
Developed data science solutions for marketing and product analytics, combining natural language processing, computer vision, and OCR. Trained transformer-based models for multilingual review analysis and built image classification models to identify products in real-world usage scenarios. Implemented OCR-based text extraction pipelines and developed data extraction processes, along with a Flask-based interface integrated with Azure to visualize analytics in real time.
Applied AI Engineer at Overstand Intelligence – AI and Machine Learning Solutions (Barcelona)
December 29, 2025 - Present
Contributed to applied AI projects including a recommendation system based on collaborative filtering and a multimodal real-estate description generator integrating GPT-3. Implemented classical machine learning techniques and supported data processing, experimentation, and model evaluation across AI-driven solutions.
Applied AI Engineer at Overstand Intelligence – AI and Machine Learning Solutions (Barcelona)
September 12, 2021 - June 26, 2022
Contributed to applied AI projects including a recommendation system based on collaborative filtering and a multimodal real-estate description generator integrating GPT-3. Implemented classical machine learning techniques and supported data processing, experimentation, and model evaluation across AI-driven solutions.

Education

Bachelor's Degree at ENSTIB - École Nationale Supérieure des Technologies et Industries du Bois
January 1, 2018 - January 1, 2022

Qualifications

AWS Certified Cloud Practitioner
January 1, 2022 - October 22, 2025

Industry Experience

Education, Software & Internet, Professional Services