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unrecano/README.md

Paulo Torres

MLOps & Backend Engineer

Senior Software Engineer specialized in building scalable distributed systems and production-grade Machine Learning pipelines.


🛠 Core Expertise

  • Backend: Design, construction, and maintenance of microservices and RESTful APIs.
  • Infrastructure: Event-driven architectures, distributed systems, and observability.
  • MLOps & Data: Spark, Databricks, and deploying ML models at scale.

🚀 Current Work

  • Developing data visualization solutions within Databricks.
  • Architecting high-availability microservices.
  • Automating ML model deployment and lifecycle management.

💻 Tech Stack

Python TypeScript FastAPI NestJS Databricks AWS Azure PostgreSQL Redis Linux

🎯 Interests

  • Software Architecture & High-performance systems.
  • Applied AI & ML in Production.
  • Open Source contribution.

📫 Connect with me

LinkedIn GitHub for Work

Pinned Loading

  1. documentaries.web documentaries.web Public archive

    Python

  2. fastapi-mlops-course-platzi fastapi-mlops-course-platzi Public

    This repository demonstrates how to deploy a production-ready Machine Learning inference service using modern MLOps practices.

    Python

  3. mongodb-aggregation-samples mongodb-aggregation-samples Public

    This repository contains the exercises, scripts, and sample data for the MongoDB Aggregation Framework.

    Python

  4. otorongo.club-deprecated otorongo.club-deprecated Public archive

    Forked from robacci/otorongo.club

    Python

  5. planes2021-web planes2021-web Public archive

    Python

  6. unrecano unrecano Public