Agentic AI + RAG Platform
Designed a multi-agent delivery pipeline with enterprise knowledge retrieval that accelerated user-story delivery cycles by 40%.
Discuss similar project →Senior Technical and AI Strategy Expert at Amdocs with 12+ years delivering enterprise-grade, AI-powered solutions for Fortune 500 clients.
I combine deep expertise in enterprise data architecture, GenAI systems, and cloud infrastructure with strategic business leadership. My work spans designing end-to-end AI solutions, modernizing delivery workflows, and building platforms that support reliable, intelligent decisions.
Recognized as a key expert in Agentic AI and prompt engineering, I use modern AI development tools to deliver high-impact software solutions at scale.
Years Experience
Reports Delivered
Dashboards Created
Cost Savings
B2B & B2C Catalog Products
Practical, production-ready approaches to AI-assisted software delivery.
Mastery of LLM prompt design and optimization techniques that unlock AI model capabilities for precise, high-quality code generation and complex problem solving.
Leveraging Cursor and Visual Studio Code with enterprise-ready AI tools (GitHub Copilot, Claude, GPT-4) and agentic code synthesis workflows to build sophisticated solutions rapidly and efficiently.
Leading enterprise-wide digital transformation initiatives using GenAI to modernize legacy systems and optimize business processes.
Automated database schema translation and migration between platforms using AI-assisted tools for Oracle, SQL Server, PostgreSQL, and more.
Building intelligent ETL processes with GenAI assistance for complex data transformations, validation, and orchestration.
Developing intelligent solutions to flatten complex nested JSON structures and transform unstructured data for analytics and reporting.
Creating automated testing frameworks and RPA solutions using AI-powered tools for web scraping, testing, and process automation.
Building proof-of-concepts and MVPs in record time using GenAI agents, enabling faster iteration and business value delivery.
Selected project outcomes combining AI strategy, engineering execution, and measurable business impact.
Designed a multi-agent delivery pipeline with enterprise knowledge retrieval that accelerated user-story delivery cycles by 40%.
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Modernized legacy batch systems into cloud-ready ETL/ELT flows with improved reliability, observability, and analytics readiness.
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Implemented scalable test automation patterns for enterprise systems, reducing release risk and accelerating confidence in deployments.
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January 2021 - May 2023
USP - Universidade de São Paulo
2009 - 2014
College of Computing at Georgia Tech
May 2013 - September 2013
Illinois State University
2012 - 2013
Interested in collaborating on Agentic AI, RAG systems, enterprise data transformation, or GenAI-powered innovation?
Philadelphia, Pennsylvania, United States
English, Portuguese, Spanish