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 βTransforming complex business challenges into actionable insights through advanced analytics and innovative GenAI-powered solutions.
Senior Technical & AI Strategy Expert at Amdocs with 12+ years of proven expertise architecting, designing, and implementing AI-powered enterprise solutions for Fortune 500 telecommunications companies. Specialized in Agentic AI, Retrieval-Augmented Generation (RAG), and intelligent automation pipelines that drive measurable business transformation.
I combine deep technical expertise in enterprise data architecture, GenAI systems, and cloud infrastructure with strategic business acumen. My work spans designing end-to-end AI agent pipelines - from user story conception through production implementation - and developing sophisticated RAG systems that enhance decision-making through intelligent knowledge synthesis. I have delivered 500+ reports, 300+ dashboards, and 100+ data marts across Tableau, Power BI, MicroStrategy, and Teradata, generating significant cost savings while enabling data-driven enterprise intelligence.
Recognized as a central key expert in Agentic AI and vibe coding, I leverage cutting-edge tools like Cursor IDE and Visual Studio Code with AI copilots to accelerate development velocity and solve complex business challenges. My recent focus includes developing AI systems that autonomously generate and manage reference data - including product catalogs, eligibility criteria, business rules, and role-based permissions - through RAG-augmented intelligence to create comprehensive, context-aware reference datasets that power enterprise operations.
Years Experience
Reports Delivered
Dashboards Created
Cost Savings
B2B & B2C Catalog Products
Pioneering the future of software development with AI-powered tools and methodologies
Expert in intuitive, AI-assisted coding methodologies that accelerate development while maintaining code quality and architectural integrity.
Leveraging Cursor and Visual Studio Code with GenAI agents (Copilot, Claude, GPT) 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%.
Discuss similar project β
Modernized legacy batch systems into cloud-ready ETL/ELT flows with improved reliability, observability, and analytics readiness.
Discuss similar project β
Implemented scalable test automation patterns for enterprise systems, reducing release risk and accelerating confidence in deployments.
Discuss similar project βFox School of Business at Temple University
January 2021 - May 2023
USP - Universidade de SΓ£o 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