Promoted to lead a transversal AI Architecture and Innovation team designed to drive impact from team level to company wide, translating business needs into architectural decisions and setting the technical direction for agentic and enterprise AI systems at scale.

• — Promoted to lead a transversal AI Architecture and Innovation team with company wide scope
• — Defining AI architecture standards and best practices across all engineering levels
• — Deploying production agentic systems implementing industry standard protocols

Worked at the forefront of Generative AI and agentic systems, developing production-ready solutions in a fast-moving environment, combining technical execution with constant stakeholder engagement to define scope and address real business cases.

• — Established best practices for agentic development and AI architecture in a SOTA GenAI environment
• — Built comprehensive MLOps pipelines in GCP covering the full ML lifecycle
• — Created and maintained Terraform modules for cloud-native AI infrastructure

Developed reactive Java workflows, integrated with government SOAP APIs, and contributed to MasStack cloud-native platform with 100+ developers.

• — Developed reactive workflow systems in Java for MasStack platform
• — Integrated with official government SOAP APIs
• — Collaborated with cross-functional teams in a 100+ developer project

Cloud resource deployment with Terraform and CI/CD, ETL pipeline automation, and daily operations automation for the data team.

• — Deployed cloud resources using Terraform and CI/CD pipelines
• — Automated ETL pipeline workflows with Apache Airflow
• — Streamlined daily operational processes for the data team

Research on evolutionary genetic algorithms for association rule extraction in customer profiling, including development of custom binary logic algorithms for massive data processing.

• — Researched evolutionary genetic algorithms for extracting association rules for customer profiling
• — Developed custom binary logic algorithm for massive customer data processing
• — Analyzed customer contracting trends for cross-sell opportunities using innovative techniques

Python programming oriented to Game Theory, researching disruptive solutions for fair equilibria in complex incentive distribution environments.

• — Developed Python solutions for Game Theory problems
• — Researched and implemented disruptive solutions for fair equilibria
• — Worked on complex incentive distribution systems

Project to digitally incentivize reading among young people through co-creation and Design Thinking methodologies.

• — Developed digital solution to incentivize reading in young audiences
• — Applied co-creation and Design Thinking methodologies
• — Worked with Agile Scrum methodology