
Caio Coelho
@caiocoelho
I build production AI systems, improving ML accuracy, APIs, deployment pipelines, and observability.
What I'm looking for
At the State Attorney General’s Office (PGE-SE), I build and support production AI for legal process classification. I improved a classification model from 34% to 92% accuracy through data quality improvements and feature engineering.
I work across the full ML lifecycle, from data preparation and model evaluation to FastAPI integration, deployment, monitoring, and production support. I also implemented CI/CD that cut release time by about 50% and structured logging that reduced diagnosis time from hours to minutes.
I’m developing a RAG system for legal documents using Qdrant, producing source-grounded summaries with document-level citations. My backend work includes REST APIs, C#/.NET services, RabbitMQ, MongoDB, SQL Server, MinIO, Docker, Harbor, and Portainer.
Outside production legal systems, I built an esports ETL pipeline processing 50,000+ records with Airflow and Spark, and a FastAPI video-platform API with OAuth2, JWT, PostgreSQL, and Cloudflare R2.
Experience
Work history, roles, and key accomplishments
Junior Data Scientist & AI Engineer
State Attorney General's Office (PGE-SE)
Mar 2026 - Present (7 months)
Retrained a production legal process classification model, increasing accuracy from 34% to 92% through data quality improvements and feature engineering. Developed CI/CD pipelines, structured logging, and monitoring for the AI system, reducing release time by 50% and diagnosis time from hours to minutes.
Education
Degrees, certifications, and relevant coursework
Federal University of Sergipe
Bachelor of Science, Computer Science
2021 - 2026
Bachelor of Computer Science degree from the Federal University of Sergipe, expected to complete in February 2026.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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