Backend Engineer with a background in Economics, focused on designing and building scalable, data-intensive backend systems and cloud-native architectures.
I have experience working on backend platforms, data pipelines, and analytical systems, translating business and data requirements into robust, maintainable, and production-ready solutions.
My work centers on backend engineering and data systems, using TypeScript, Node.js, Python, and AWS. I also have experience with blockchain applications on EVM, and I’m currently deepening my focus on AI-driven systems, intelligent agents, and financial data analysis, moving toward roles at the intersection of software engineering, data, and quantitative finance.
I value clean architectures, clear abstractions, and systems designed to scale.
- Scalable backend systems and distributed architectures
- Data engineering, analytics, and metric-driven platforms
- AI-driven backends and intelligent agents
- Financial data systems and quantitative analysis
- Languages: TypeScript, Python, JavaScript, Golang
- Backend: Node.js, NestJS, Express, FastAPI, Fiber
- Cloud: AWS (CDK, Lambda, S3, DynamoDB)
- Data: PostgreSQL, MongoDB, Redis, ETL pipelines
- Architecture: Clean Architecture, event-driven systems, Microservices.
- LinkedIn: https://www.linkedin.com/in/pernamauro/
- Email: maurofabricioperna@gmail.com



