Rocio Cisterna

Designed and led backend architecture for a cloud-native microservices ecosystem on AWS (ROSA), implementing FHIR R4 standards and building agentic backends with multi-agent systems and MCP servers.

Worked as a Data Engineer focusing on management and governance within the Data and AI practice.

Worked as a Visualization and Interaction Science Analyst within the Data Engineering practice.

Worked as a Data Engineering Analyst within the Software Engineering practice.

Specialized in generative AI, LLM orchestration, RAG, multi-agent architectures, and QA automation for production-grade chatbots.

Worked as a Data Analyst focusing on data analytics and engineering with Power BI and ETL.

Conducted research on energy consumption models.

Senior Power BI role with a technical focus in the hostel sector.

Internship focused on Business Intelligence and Business Analytics.

Internship focused on Lean Manufacturing project.

Researcher on bioremediation system for water and soil contaminated with heavy metals.

Supervised professional internship.

Pursuing a Master in Business Intelligence & Business Analytics, ongoing as of 2019.

Pursuing a Master in Business Intelligence & Business Analytics, ongoing as of 2019.

Completed a Data Science bootcamp in 2021.

Earned an Industrial Engineer degree from 2013 to 2019.

Completed a Lean Manufacturing Program.

Completed a course on Internal Auditing in Quality Management System.

Completed a course on Natural Language Processing with Transformers in Python.

Completed a course on XGBoost for Business.

Completed an Introduction to Trading, Machine Learning & GCP course.

Completed Essential Cloud Infrastructure: Foundation course.

Completed Essential Cloud Infrastructure: Core Services course.

Completed Elastic Cloud Infrastructure: Scaling and Automation course.