Generative AI
Designing and building production-grade GenAI systems using LLMs, RAG, and agentic architectures. Experience with multi-agent workflows, real-time conversational AI, and retrieval pipelines across structured and unstructured data.
Hi, I'm
Fabio
Mesquita
Ai Engineer
Turning LLMs into real-world systems — from data pipelines to agentic AI applications.
LLMs
RAG
FastAPI
GCP
Multi-Agent
What I work on
Data Engineering
Building scalable data platforms and pipelines (GCP, BigQuery, dbt), optimizing data models and processing performance. Improved pipeline efficiency and reduced costs through partitioning strategies and optimized transformations.
Backend Engineer
Developing robust backend systems and APIs (Python, FastAPI) to power AI applications, with focus on scalability, system design, and production readiness.
System Architecture & Deployment
Designing and deploying end-to-end AI systems, from architecture to production. Experience with system design, orchestration, APIs, and deploying scalable AI applications in cloud environments.