A record of the work.

Principal Software Engineer | Team Lead, AIPCC Ecosystems Team · Raleigh, NC

• Lead the AIPCC Ecosystems engineering team responsible for enterprise Python components and accelerator enablement, setting technical direction and coordinating delivery across partner teams.
• Design and maintain Python packages that provide reusable building blocks for supported enterprise workloads across CPU, CUDA, and ROCm environments.
• Architect cross-architecture qualification pipelines with smoke, capability, integration, and upstream test coverage to improve package compatibility and release reliability.
• Strengthen software supply chain security by defining package intake and validation controls that reduce the risk of compromised or untrusted components entering supported repositories.
• Coordinate CVE maintenance across package lifecycles, including vulnerability triage, patch integration, build validation, and release readiness.
• Partner with upstream open-source maintainers and internal component, security, CI, and release engineering teams to resolve compatibility issues and deliver maintainable platform updates.
• Establish documented quality standards, escalation paths, and CI/CD automation that improve reproducibility, onboarding, and operational ownership.

Artificial Intelligence and SDE Intern · Redmond, WA

• Built Python and C# data analysis and predictive tooling for the Azure Operator 5G Core engineering organization.
• Prepared datasets, evaluated model behavior, and implemented test workflows to improve reliability before integration into software systems.
• Developed Python microservices and APIs with Flask and FastAPI, documented technical workflows, and incorporated peer-review feedback.
• Coordinated project delivery with software engineers and data specialists through Agile planning and regular technical reviews.

Lead Software Engineer / CTO · Brazil

• Led delivery of mobile applications, web applications, APIs, databases, and data pipelines for commercial software products.
• Designed .NET services and REST APIs, including asynchronous workflows with RabbitMQ and data access through EntityFramework.
• Architected Azure-hosted microservices and containerized deployments using Docker and Kubernetes.
• Managed SQL and NoSQL data systems and improved application performance, scalability, and operational reliability.
• Coordinated developers, designers, and business stakeholders across planning, implementation, review, and release activities.

North Carolina State University

• Activities: Graduate Teaching Assistant, C and Software Tools, Software Engineering

Federal University of Minas Gerais

• Honors: Best Student Award in Computer Science, 2019

Machine Learning Engineer · Brazil

• Developed .NET and Python predictive models for market trends and customer behavior and integrated them into existing software products.
• Prepared and analyzed datasets using SQL, Hadoop, Pandas, and NumPy and optimized database access with PL/SQL and SQLAlchemy.
• Collaborated with engineering teams on architecture, deployment, testing, documentation, and Agile delivery.

PhD Researcher · Raleigh, NC

• Conducted software engineering research on interactive search and optimization for software product-line configuration under Professor Tim Menzies.
• Developed Python and C# methods that reduced decision-maker effort and the number of software configuration evaluations required.
• Evaluated techniques on software engineering problems and collaborated with interdisciplinary research teams.

• Evaluated applied machine learning techniques for matching resumes with job descriptions using Python, C#, and JavaScript.
• Studied how data encodings affected matching performance and contributed results to peer-reviewed research.