Led cross-functional global engineering teams, at times directing two Agentic AI initiatives simultaneously, to design, build, and deliver end-to-end AI solutions for Microsoft. Managed, coached, and mentored a team of software engineers and data scientists, taking responsibility for technical architecture decisions, team coordination, and alignment with client expectations. Developed production-ready Generative AI products and specialized AI agents that drove significant internal business value and enhanced the marketing team's efficiency. Collaborated directly with international stakeholders in North America to leverage expertise and ensure the rapid evolution of Microsoft's AI capabilities. Managed Data Engineering workflows to support scalable AI and ML solutions, ensuring optimal project delivery within a Microsoft environment.

Acted as a technical consultant for an AWS partner company, developing scalable GenAI classification models and Agentic AI workflows for document analysis. Managed complex Machine Learning workflows and deployment pipelines leveraging AWS cloud computing platforms. Evaluated and experimented with state-of-the-art Generative AI models to drive innovation and boost team performance.

Applied advanced data science and AI techniques to develop Generative AI solutions and Virtual Assistants for one of Latin America's largest banks. Translated complex AI methodologies into strategic, operationally feasible tools for non-technical stakeholders across legal, finance, and communications departments. Utilized modern machine learning architectures, including LangChain, RAG, dynamic few-shot learning, and foundation models, deploying solutions on Google Cloud (GCP) and Vertex AI. Communicated insights visually using Power BI to create understanding, engagement, and buy-in from various business areas.

Designed solutions and built the initial code for the intelligent implementation of conversational LLMs (OpenAI, Gemini) into existing software systems. Actively contributed to community best practices by sharing Data Science knowledge and mentoring the broader development team. Integrated GenAI capabilities into applications to minimize time to value and maximize re-usability.

Planning, execution, and analysis of Load Tests, Stress Tests, and their variations. Knowledge in real-time analysis of performance reports, such as response time and throughput, with Data Visualization skills for identifying insights Experience in creating and reviewing various reports, as well as the storytelling skills necessary to perform these tasks. Commitment to delivering exceptional service to customers in order to ensure long-term loyality.

Developed a front-end mobile application using Dart and Flutter as part of an agile team. Gained leadership skills and discipline in adhering to agile frameworks, consistently delivering high-quality results.

Developed a front-end mobile application using Dart and Flutter as part of an agile team. Gained leadership skills and discipline in adhering to agile frameworks, consistently delivering high-quality results.

Period of intense learning where I had the opportunity to intern in several areas of the company, including Data Science and Software Development as a whole. Improvement of technical skills such as Object Orientation with C#, Machine Learning, Data Science and more.