São Paulo, Brazil
I build systems that connect engineering, automation, data, and business execution. My background spans backend development, process automation, systems integration, test engineering, and data workflows. Over time, I have worked on solutions ranging from automated testing and internal tooling to scraping infrastructure, operational systems, and workflows designed to improve reliability, visibility, and execution. Today, as a GTM Engineer at Voidr, I work at the intersection of AI, automation, and go-to-market operations, helping build internal systems that support prospecting workflows, campaign execution, and process improvements. What interests me most is using technology not just to implement, but to improve how teams operate, reduce friction, and make execution more effective. Core areas of interest: AI systems, automation, backend engineering, GTM operations, internal tooling, and workflow design.
Working directly with Voidr's founders and RevOps team to build AI-powered systems that improve Voidr’s go-to-market execution. - Fully rebranded Voidr's site to reflect new positioning. - Building and evolving internal GTM tooling, automations, and agent-based workflows for prospecting and campaign operations. - Contributing to the evolution of voidr-growth-agent, an internal AI system that supports prospecting workflows, campaign execution, and creative generation. - Supporting the migration of the system to Figma’s new MCP model, enabling prompt-based creative updates in OpenClaw. - Running experiments to improve outbound operations, prospecting signals, and AI-driven workflow performance. - Connecting technical implementation with GTM strategy through process, tooling, and prospecting flow decisions.
Working with clients and internal teams to improve release confidence in client-facing AI products through test automation, LLM validations, and quality observability. - Translating business goals, critical flows, and risk areas into test strategies across UI, API, and AI layers. - Building and maintaining E2E and API automations integrated with AI-specific checks, including rubrics, rules, and adversarial scenarios. - Investigating regressions in model behavior, with focus on consistency, policy compliance, safety, and response quality. - Defining quality metrics and observability practices for AI systems, including flow-level assertiveness, failure patterns, and drift signals. - Evolving testing pipelines and quality gates to support more reliable releases in critical customer workflows.
Working with clients and internal teams to improve software quality in customer products through E2E and API test automation aligned with product goals, business risks, and release confidence. - Translating product expectations, business objectives, and risk areas into practical test strategies and scopes. - Building and maintaining E2E and API automations focused on critical user flows and expected product outcomes. - Investigating failures and regressions with attention to customer impact, product reliability, and release risk. - Supporting technical and product decision-making through a quality-driven view of system behavior and validation coverage. - Contributing to the evolution of testing pipelines and automation practices designed to accelerate validation and reduce production risk.
Taking on a technical leadership role to connect technology, architecture, data, and business priorities across Cinga’s internal operations. - Structuring and architecting projects and demands to ensure key business areas had access to scalable, high-impact solutions. - Leading the development and maintenance of integrations, automations, and internal systems that supported critical operational workflows. - Providing technical direction to developers and contributing to hiring and evaluation processes for new team members. - Participating in strategic discussions to align technology decisions with productivity, process improvement, and business value. - Acting beyond implementation by helping define solution paths that connected engineering execution with company priorities.
Working across backend, automation, data, and web scraping to build internal solutions that supported critical business operations at Cinga. - Building and maintaining web scraping systems in Python and Node.js to collect critical data for legal, financial, and operational teams. - Developing Node.js endpoints and internal integrations to connect extracted data with company systems and workflows. - Working directly in SQL Server on tables, procedures, and performance-oriented data structures to support reliability and scalability. - Contributing across the full solution lifecycle, from problem analysis and architecture decisions to implementation and delivery. - Exploring AI-powered automations and LLM-based workflows to improve internal processes, accelerate service operations, and turn data into faster decisions.
Completed the 42 São Paulo Piscine, an intensive 4-week selection program focused on peer-to-peer, hands-on, and self-directed learning. - Solved daily programming challenges in C and Shell under pressure and without traditional classes or instructors. - Strengthened foundations in problem-solving, pointers, memory allocation, file handling, and basic data structures. - Developed resilience, autonomy, and collaboration through an immersive and highly demanding learning environment.
Started my professional journey in automation development, using Python to build web scraping solutions that automated repetitive tasks and supported internal processes. - Developed web scraping scripts in Python to collect data and reduce manual operational work. - Contributed to automations designed to improve process efficiency and support business routines. - Built practical foundations in programming logic, code organization, and reusable automation structures. - Gained early hands-on experience delivering technical solutions in real business contexts.
Had my first professional experience in technology, supporting infrastructure and automation-related activities. - Studied and configured virtual machines to support automation processes and internal environments. - Built early practical knowledge in virtualization, environment setup, and systems support.