Leonardo Dalcin is a Senior AI Software Engineer based in Munich with a decade of experience building full-stack SaaS products and end-to-end AI systems. He designs and ships production RAG pipelines, agentic evaluation tools, and unstructured-data extraction stacks that generate audit-ready, provable answers for ESG reporting. Equally comfortable in TypeScript/Node.js, Angular/Vue, PostgreSQL and MongoDB, he pairs deep theoretical CS foundations with pragmatic product sense and DevOps fluency (Nx monorepos, Prisma, CI/CD, AWS, Docker, observability). His background spans founding a monitoring startup as CTO, building analytics and investment platforms at Deloitte and Warren Brasil, and evolving Sunhat’s collaboration and metadata systems into a robust AI stack. An active OSS maintainer, he created Mongo Auto ERD and contributed to OpenTelemetry and civic tooling for Munich’s appointment system—signals of his inclination to solve real-world infrastructure and civic problems. Colleagues describe him as a hands-on engineer who owns E2E solutions and isn’t afraid to pair research-grade ML with production constraints.
10 years of coding experience
9 years of employment as a software developer
Bacharelado Ciência da Computação, Bacharelado Ciência da Computação at Federal University of Rio Grande do Sul
Contributions:12 pushes, 2 branches in 4 years 2 months
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