Available to hire
I help businesses build production-ready AI solutions, focusing on AI Agents, RAG architectures, and Intelligent Automation. With a strong background in Industrial Engineering and over 5 years in the data field, I bridge the gap between complex technical implementations (Python, Azure, LangChain) and business logic.
My recent work includes deploying multi-agent systems for enterprise clients to automate workflows and enhance decision-making. I bring robust experience in Cloud Architecture (Azure/GCP) and Data Engineering pipelines, ensuring that the AI solutions I build are scalable, reliable, and secure.
Skills
Language
Spanish; Castilian
Fluent
English
Advanced
Work Experience
AI & Data Engineer at Suntory Beam
December 1, 2022 - March 1, 2025Led the design and implementation of an AI & Generative AI governance multi-agent system to automate and optimize IT ticket management on the ServiceNow platform. Defined microservices architecture, integrated an OpenAI-compatible plugin, and built orchestration logic to support a scalable RAG-enabled conversational agent.
AI & Data Engineer at Abbott Laboratories
January 1, 2024 - August 1, 2024Implemented end-to-end Digital Humans (Generative AI) initiatives to automate and scale client-facing processes, leading data flow design, model integration, and deployment.
Data Engineer at Minsait (Indra)
August 1, 2021 - November 1, 2022Orchestrated cross-domain data architecture (HR, Procurement, Finance) within a modern Data Warehouse; designed data models, ETL/ELT processes, and BI-ready data structures to enable advanced analytics.
Data Engineer at Konecta Corporativa
March 1, 2020 - July 1, 2021Designed and implemented scalable ELT pipelines in Azure Data Factory; built notebooks in PySpark for large-scale data processing; created and documented data models and data lake integration.
Data Engineer at AXA Seguros
August 1, 2021 - September 1, 2021Ingested COBOL-based data into modern data processing pipelines; migrated data flows to Spark/Databricks and orchestrated via containerized environments to enable scalable data ingestion and transformation.
Education
Máster en Data Analytics at Ironhack, Madrid, Spain
September 1, 2018 - May 1, 2020An intensive, project-based bootcamp designed to bridge the gap between raw data and actionable business insights. The curriculum covered the entire data lifecycle, building a strong proficiency in Python (Pandas, NumPy) for data wrangling and SQL for database management.
The program placed a heavy emphasis on statistical analysis and Machine Learning fundamentals, requiring the development of predictive models and data visualization dashboards. This hands-on experience served as the technical pivot from industrial process analysis to modern Data Engineering, fostering an agile mindset for solving complex data problems.
Skills: Python, SQL, Machine Learning, Data Visualization, Statistical Analysis, Git.
Ingeniería Civil Industrial at Universidad de Concepción, Chile
January 1, 2003 - January 1, 2009A rigorous engineering program focused on operations research, process optimization, and business strategy management. Graduating with Maximum Distinction, this degree provided the mathematical and analytical foundation necessary for modeling complex systems.
The curriculum emphasized Continuous Improvement methodologies (Lean, Six Sigma) and innovation management. This background in systemic thinking and efficiency is what I now apply to Data Engineering and AI architectures, ensuring that technical solutions are not only functional but also optimized for performance and business value.
Skills: Process Optimization, Operations Research, Project Management, Systems Thinking, Lean Manufacturing.
Master in AI development at BigSchool
October 10, 2025 - February 27, 2026An advanced, hands-on program designed to merge modern Software Engineering standards with cutting-edge AI development. The curriculum focuses on building production-ready intelligent systems, moving beyond basic models to robust architectures using SOLID principles and Clean Architecture.
Key areas include Generative AI implementation (Prompt Engineering, Fine-Tuning, LangChain), reinforced by strict quality and security practices (TDD, DevSecOps, OWASP). The program also covers the infrastructure needed to scale these solutions, including Vector Databases and CI/CD pipelines.
Skills: Generative AI, Software Architecture, LangChain, TDD, DevSecOps, Vector Databases, CI/CD.
Qualifications
Azure Fundamentals
January 11, 2030 - January 8, 2026Innovating with Data and Google Cloud
January 11, 2030 - January 8, 2026Python Essentials for MLOps
January 11, 2030 - January 8, 2026Introduction to Generative AI
January 11, 2030 - January 8, 2026Cloud Computing Foundations
January 11, 2030 - January 8, 2026Introduction to Machine Learning
January 11, 2030 - January 8, 2026Scrum Fundamentals Certified
January 11, 2030 - January 8, 2026Industry Experience
Software & Internet, Professional Services, Media & Entertainment, Education
Skills
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