Open to opportunities

Ronnie Souza

@ronniesouza

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AI Engineer specializing in scalable, cloud-native GenAI systems and RAG pipelines.

Brazil

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What I'm looking for

I seek roles building production GenAI platforms and RAG/agent systems at companies valuing scalable, cloud-native engineering, cross-team collaboration, and measurable business outcomes.

I am an AI Engineer with 7+ years in technology, focused on designing and building scalable, cloud-native generative AI solutions that deliver measurable business impact.

I have led architecture and implementation of end-to-end RAG pipelines, intelligent agent workflows, and vector search systems using LangChain, Semantic Kernel, pgvector/Postgres, and LLM integrations.

My engineering background includes .NET, C#, Python, cloud deployments on Azure and AWS, containerization, and modern design patterns (DDD, CQRS, Event Sourcing, SOLID), enabling robust, maintainable AI services.

Notable outcomes include spearheading a multi-region GenAI platform for 60k+ users that reduced support costs by $1.5M and building a GPT-4o + Whisper automation that cut language exchange processes from hours to seconds.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Anheuser-Busch InBev

Apr 2025 - Present (1 year 2 months)

Designed and implemented a GenAI orchestration platform and RAG pipelines, leading AI architecture and multi-region rollout that reduced manual processes and lowered support costs across global regions.

Python Semantic Kernel Azure Cognitive Search .NET 8+Kubernetes Docker Kafka

.Net Developer

Sequor Digital Solutions

Apr 2022 - Apr 2025 (3 years)

Designed and maintained scalable RESTful APIs with .NET 8 using Clean Architecture, CQRS and DI, developed cloud-native serverless solutions on AWS, and mentored a junior developer to improve delivery quality.

C++.NET 8+ASP.NET Core CQRS AWS Lambda SQS RDS)xUnit Serilog RDS

Full Stack Developer

Mondragon Assembly

Jan 2021 - May 2022 (1 year 4 months)

Developed full-stack supervisory systems for automated manufacturing using .NET and SQL Server, optimizing data integration and storage to improve operational reliability.

.NET C++SQL Server Dapper WinCC Full Stack

Full Stack Developer

New Tooling

Nov 2019 - Jan 2021 (1 year 2 months)

Built and tested full-stack applications and supervisory systems using .NET Framework and DevExpress, focusing on reliability, performance, and database efficiency with SQL Server.

.NET Framework SQL Server Full Stack Testing Performance Optimization