Software Architect · Bachelor of Computer Science
Experienced Software Architect with over 10 years designing scalable, cloud-native solutions across AWS, Azure, and GCP. AI-driven fraud detection, voice recognition, and automation that enhance operational efficiency and security.
Experienced Software Architect with over 10 years of expertise in designing and implementing scalable, cloud-native solutions across AWS, Azure, and GCP.
Demonstrated success in leading cross-functional development teams to deliver AI-driven fraud detection, voice recognition, and automation solutions that enhance operational efficiency and security. Skilled in full-stack development, cloud migrations, and optimizing ETL processes to ensure system stability, scalability, and cost-effectiveness.
Proficient in a wide range of programming languages and frameworks, with a strong commitment to delivering high-quality software solutions that align with business objectives and user needs. Based in Cascavel, PR, Brazil. Portuguese (native), English (fluent), Spanish and French (basic).
Designed, developed, and trained an AI-driven machine learning model for fraud detection in document verification, enhancing security and compliance. Implemented and trained an advanced ML-based AI solution for voice recognition, improving user authentication and accessibility. Architected robust software solutions to optimize ETL processes using AWS Step Functions, Lambda, Batch, and Fargate. Automated critical legacy processes and led cross-functional development teams.
Led a team of 7 developers in designing and implementing scalable web applications and APIs for healthcare professionals. Enhanced the stability, scalability, and cost-efficiency of critical healthcare applications, ensuring high availability. Applied Agile methodologies, maintained and modernized legacy software systems, and conducted in-depth software design reviews. Implemented best practices for software quality, security, and performance.
Developed an AI-powered chatbot to improve helpdesk efficiency and customer satisfaction. Authored comprehensive software documentation and architected innovative solutions. Redesigned system architecture and optimized cloud resource allocation, reducing Google Cloud infrastructure costs by more than 50% through workload right-sizing, service consolidation, and elimination of inefficient patterns. Led development teams and established best practices; worked on mobile, web, and serverless solutions.
Utilized Agile methodologies to enhance project delivery efficiency. Developed end-to-end solutions for mobile, web, and backend systems. Led the migration of self-hosted software to cloud platforms, improving scalability. Implemented unit and end-to-end testing strategies to ensure software reliability. Worked on both native and hybrid mobile development projects.
Applied Agile methodologies and performed in-depth requirements analysis. Migrated critical legacy desktop applications to cloud environments. Developed a feature-rich mobile application using React Native, ensuring parity with the web app. Worked extensively with React, React Native, Express, and MongoDB. Conducted debugging and performance optimization of legacy applications.
Developed and maintained web applications and APIs for various business needs. Built full-stack solutions using JavaScript, C#, Java, and PHP. Managed and optimized MySQL and Oracle databases. Designed and automated reporting systems to support business operations.
Designed and developed an advanced AI-powered fraud detection system that enhances security and operational efficiency. Implemented machine learning models to identify and prevent fraudulent activities in real-time across multiple channels.
Implemented an advanced AI solution for voice recognition technology that processes natural language and provides intelligent responses. Integrated with modern machine learning frameworks to deliver high-accuracy speech-to-text and text-to-speech capabilities.
Led the enhancement of healthcare applications for improved stability, scalability, and cost-efficiency. Optimized ETL processes and automated critical legacy systems while maintaining high availability and compliance standards for medical data processing.
Self-hosted homelab for ML experimentation and local inference of large language models (OpenAI GPT-OSS, DeepSeek). Containerization and orchestration with Docker, Kubernetes, and Terraform; service images, cluster provisioning, and deployments via Helm and Kubernetes manifests. GPU-enabled workloads for local model serving, virtualized environments for networking (VLANs, routing, firewall), home automation with IoT, and workflow orchestration with Apache Airflow.
Cross-platform desktop application (Linux, macOS, Windows) for visualizing, searching, and editing Apache Parquet files. Efficient columnar data loading for large datasets with minimal memory footprint. User-friendly interface for schema inspection, filtering, and in-place data modification. Published as open-source with modular architecture for extensibility and community contributions.
Native Swift-based client for Apache Airflow supporting iOS, iPadOS, and macOS. Secure multi-instance management with token-based authentication and environment isolation. Monitor DAGs, task logs, execution states, and manually trigger jobs across multiple Airflow deployments. Performance-focused with offline caching and platform-consistent UI/UX. CI/CD with Xcode Cloud, automated tests, and continuous delivery to TestFlight for internal distribution.
Academic Work Awarded by the Brazilian Academy of Forensic Sciences.
Relevant courses: Pentaho Business Intelligence Open Source; Business Process Model and Notation (BPMN); LGPD – OneTrust Certified Professional.
Certification in English as a foreign language.
I'm always interested in discussing new projects, innovative ideas, or opportunities to help build exceptional systems. Feel free to reach out!