Generative AI & LLM Integration
Architecting and deploying production-grade Generative AI applications and Retrieval-Augmented Generation (RAG) pipelines, integrating custom LLM workflows seamlessly into existing environments.
Forward Deployed AI Engineer & Software Engineer
Bridging the gap between Artificial Intelligence and enterprise workflows.
With over 19 years of experience, I act as a customer-facing engineer to architect, deploy, and scale production-ready AI solutions. Partnering directly with stakeholders to translate bottlenecks into high-performing software using Generative AI, RAG, Python, C#, and .NET 10.
19+Years of Experience
AI, Python & .NET 10Core Stack
AWS / AzureCloud & DevOps
About
Robust architecture for the real world
I am a Forward Deployed AI Engineer and Senior Software Engineer. I bridge the gap between cutting-edge Artificial Intelligence and complex enterprise workflows, partnering directly with stakeholders to translate critical business bottlenecks into high-performing, reliable software systems.
I architect and deploy production-grade Generative AI applications and RAG (Retrieval-Augmented Generation) pipelines, seamlessly integrating custom LLMs into existing environments. I build resilient, secure backend integrations and APIs using C#, .NET 10, and Python, strictly applying Clean Architecture and Domain-Driven Design (DDD) principles to ensure long-term maintainability.
From designing and optimizing data pipelines (Oracle SQL, SQL Server, BigQuery) to overseeing end-to-end deployments in cloud environments (AWS / Azure) with Docker, Kubernetes, and automated CI/CD, I act as the direct conduit between customer reality and core product engineering.
- Education
- UFF – Computer Systems
- Specialization
- MBA UFRJ – IT Governance
- R&D Background
- Machine Learning (K-NN/SAM-KNN)
- Location
- Rio de Janeiro, Brazil (Remote)
Expertise
Technical Stack
The engineering, architecture, and infrastructure ecosystem driving my AI deployments.
AI & Innovation
Engineering & Architecture
Languages & Frameworks
Data & Cloud
Portfolio
Engineering Fronts
A snapshot of the impact and technical depth of the enterprise projects I architect and lead.
The focus is on delivering solutions that solve business bottlenecks while scaling AI securely.
Robust Software Architecture
Building resilient, secure backend integrations and APIs using C#, .NET 10, and Python, applying Clean Architecture and Domain-Driven Design (DDD) principles for long-term maintainability.
Data Engineering & Analytics
Designing and optimizing data pipelines, relational/vector databases (Oracle SQL, SQL Server, BigQuery), and data transformation workflows to feed accurate data into AI models.
Cloud & DevOps Deployment
Overseeing end-to-end deployments in cloud environments (AWS / Azure), implementing containerization (Docker/Kubernetes) and automated CI/CD pipelines for scalable, high-availability AI serving.
Contact
Let's raise the bar of your engineering.
I usually reply within 1 business day.