• Engineered a robust cloud-native framework composed of a variety of gRPC-based microservices, client libraries and SDKs to bolster data connectivity within SAP Datasphere's business data fabric. The solution was tailored for Kubernetes-managed distributed environments so that new connectivity microservices can be rapidly implemented and integrated to it for seamless operation at scale.• Designed and developed a RESTful API orchestrator microservice for SAP Datasphere's data replication backend using the NestJS framework for Typescript/Node.js. The application was optimized for scalability and performance in a distributed architecture, ensuring reliable data replication operations through comprehensive testing and automation.• Led the implementation and optimization of CI/CD automation pipelines, streamlining the delivery of multiple internal components using tools such as Azure DevOps and Jenkins. These robust, highly available pipelines were designed for ease of maintenance, security, and compliance while significantly accelerating the release cycle with low execution times.• Worked alongside a cross-cultural team on the development and maintenance of SAP Data Services C++ backend engine, impacting thousands of global enterprise customers with new features and performance enhancements that reduced bulk metadata extraction latency for multiple database sources from days to a few minutes.

• Developed functional testing frameworks for ETL and metadata engines of SAP Data Services, a product with over 6,000+ enterprise customers worldwide, then serving as the backbone for other data integration cloud solutions of the SAP Business Technology Platform.• Delivered a containerized CLI tool developed in Golang to integrate into the automation pipelines, ensuring developers can easily scale out to multiple integration test scenarios with low execution times and high concurrency while also reproducing and resolving bugs in less iterations.• Implemented hundreds of integration and end-to-end test scenarios to improve on and maintain the product's high quality standards.

• Volunteered as a microelectronics undergraduate researcher in the Prototyping and Testing Laboratory (LAPROT), contributing to various workstreams that encompassed the electric and micromagnetic modeling of spintronic devices and its applications to alternative non-volatile memory technologies such as the STT-MRAM.• Characterized and modeled SRAM memory stability metrics with different techniques and genetic programming ML algorithms such as grammatical evolution, engaging in conferences and academic events to present the results.Presented papers:"Static and Dynamic Stability Margins of 6T SRAM Bit Cell" - 19th SFORUM, Chip in Sampa - São Paulo, Brazil."Analytical Modeling of 6T SRAM Bit Cell State-Space Using Grammatical Evolution" - 9th IEEE CASS-Workshop - Porto Alegre, Brazil.