Freelancer profile translated to English.
Back to original languageAbout Diego
Lead AI Engineer | Generative AI & Machine Learning in Production
I help companies design and deploy Artificial Intelligence systems in production that scale, are measurable, and generate real business and customer experience impact.
I act as Technical Lead in Generative AI initiatives in enterprise environments, leading public conversational platforms that manage over 3 million conversations annually, integrated with core operational systems.
My focus is on taking AI from prototype to robust production system, with solid architecture, observability, and technical governance.
Generative AI & Multi-Agent Systems
I have led the design and implementation of multi-agent systems in production, with decoupled architectures integrated with critical enterprise systems.
My work includes:
- Technical leadership of implementation teams.
- Design and development of multi-agent architectures (orchestration, shared memory, API contracts) with dynamic access to databases and transactional systems.
- Full implementation of LLMOps: deployment pipelines, monitoring, automatic evaluation, observability, and quality control.
- Close collaboration with product, business, and technology to define roadmaps and technical decisions.
Machine Learning (End-to-End Ownership)
In addition to GenAI, I have deep experience in traditional ML in production, supervising Data Science teams and ensuring product quality.
In the AWS Cloud environment, I have developed and put into production complete models managing the entire lifecycle:
- ETL with PySpark
- Orchestration with Airflow
- SageMaker Pipelines
- CI/CD
What sets me apart
✔ Real experience in systems operating at scale
✔ Ability to connect business and technical architecture
✔ Hybrid profile: hands-on + technical leadership
✔ Experience in LLMOps and MLOps in cloud environments
✔ Design of reusable and scalable solutions
Spanish
Native or bilingual
English
Conversational
Remote only
Primarily works remotely
Experience
- IBERIA
On Malt
Lead AI EngineerAVIATION AND AEROSPACEMay 2026 - June 2026 (2 months)Technical leadership of various AI projects, notably the generative AI chatbot for Iberia's main page. - IntelliasLead AI Engineer & Generative AI Technical LeadDecember 2024 - February 2026 (1 year and 2 months)I act as technical lead for Generative AI initiatives at Iberia, focusing on the execution and evolution of the main customer-facing conversational platform deployed on Iberia’s public website.The solution is a production-grade, multi-agent Generative AI system, handling 3M+ customer conversations per year, and integrated with core operational systems through MCPs.Key responsibilities and contributions (Generative AI):-Technical leadership of implementation teams, translating business decisions into production-ready solutions-Active contribution to the design of the multi-agent GenAI architecture, including agent orchestration, shared memory, and API contracts-Hands-on development of core agents (security, tone, translation, conversation management, flight cancellation)-Design and maintenance of a shared Generative AI core library, reused across multiple initiatives-LLMOps execution, including deployment pipelines, monitoring, evaluation, and observability-Close collaboration with internal Iberia technical, product, and business stakeholders, contributing to technical decision-making and roadmap discussionsAdditional responsibilities (Traditional ML & Customer Analytics):-Technical supervision of 3 Data Scientists working on production ML models, including:-Next Best Action-Business vs Leisure segmentation-Churn and purchase propensity models-Recommendation systems-Architectural and quality oversight of end-to-end ML pipelines, from data ingestion to deployment and monitoring-Support in incident resolution, performance analysis, and continuous model improvementTech stack: Python, LLMs, Agent-based architectures, AWS (SageMaker, Fargate, DynamoDB, RDS, S3, Redis), Airflow, REST APIs, OpenTelemetry, Langfuse, CI/CD
- Quant AI LabData ScientistMay 2023 - December 2024 (1 year and 7 months)I created and put into production end-to-end churn, propensity and recommendation models. I have designed a recommendation bot by combiningfoundational models (GPT-3.5, Llama2, Claude), LangChain architecture, and prompt engineering, which interacts with a database to report available flight paths. ETL, SageMaker pipelines, CI/CD development AWS SageMaker, Apache Airflow, Model deployment, AWS, PySpark, Airflow
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Education
- Master's degree in financial sector technologies:Carlos III University2021Master's degree in financial sector technologies:
- Bachelor of Engineering in Computer ScienceCarlos III University2020Bachelor's degree in Computer Engineering,