I’m a back-end developer obsessed with DevOps, automation, MLOps (GenAI) and Machine Learning. Here’s a quick look at my journey:

Feb 2025 – Present | London, UK

• Designing and scaling AI agents infrastructure with LangGraph, FastAPI & Kubernetes
• Automating ML pipelines, monitoring and CI/CD on AWS
• Ensuring reliability and peak performance in production ML systems

Aug 2025 – Present | São Paulo, Brazil (Remote)

• Leading MLOps initiatives in the AWS cloud, developing and operating AI systems applied to language models and intelligent agents
• Automating machine learning pipelines and integrating LLMs into production environments
• Ensuring scalability, observability, and security for high-performance AI applications

2024 – Feb 2025 | Uberlândia, MG, Brazil**

• Researched and developed AI models for strategic business solutions
• Implemented MLOps on OCI: data/version control, CI/CD and scalable infra
• Tuned models for production and validated large-scale performance

2023 – 2024

• Built advanced automation with bots & robots, robust APIs and microservices
• Technologies: Python, NodeJS, Docker, Kubernetes, AWS (Lambda, API Gateway, S3, EC2, IAM, DynamoDB)

2023

• Developed microservices & integrations (Python + Node.js) for the pet health-plan product

2022 – 2023

• Created financial endpoints (Pagar.me, PagSeguro) and an analytical bot from scratch (Node.js + Python)

2020 – 2022

• Developed an ML system to detect potential diseases based on routines & eating habits

• Languages: Python, JavaScript/TypeScript (NodeJS)
• Infra & DevOps: Docker, Kubernetes, Terraform, Cloud (GCP, AWS, Oracle)
• MLOps & AI: GenAI, LangGraph, Langchain,FastAPI, spaCy, Qdrant, RAG, CI/CD pipelines, RNN
• Automation & RPA: Selenium, Playwright, Python scripting for repetitive tasks