I am a Senior Software Engineer driven by an early passion for technology, having been exposed to C and Linux before college through the Brazilian Informatics Olympiad and personal projects. With over 10 years of experience, I specialize in building resilient infrastructure and scalable backend systems in collaborative, agile environments. My expertise spans the full software lifecycle, from system design and high-performance APIs in Python, TypeScript, and Java to cloud modernization across AWS and Azure using Terraform, Docker, and Kubernetes.
Currently, I support critical global trading platforms at Goldman Sachs, where I lead internal AI initiatives involving Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) orchestration to improve reliability and developer productivity. I have a strong background in site reliability engineering, DevOps, and backend development, having worked in various roles that involved migrating infrastructure, integrating chatbot solutions, and building telemetry platforms.
I have contributed to personal projects such as Yvy, an environmental observability platform that integrates official data for monitoring deforestation and wildfires in Brazil, and JS Agent, a browser-first multi-step agent with modular skill runtime and durable memory layers. These projects reflect my commitment to leveraging technology for impactful solutions.
Throughout my career, I have demonstrated the ability to gather business requirements, lead migrations to cloud platforms, automate infrastructure workflows, and deliver training on AI-assisted workflows. I am proficient in multiple programming languages and cloud technologies, and I continuously seek to enhance my skills in AI, MLOps, and scalable system design.
I am passionate about collaborating with international teams and contributing to innovative projects that drive operational excellence and technological advancement. My experience in teaching and mentoring also reflects my dedication to knowledge sharing and team growth.