Pablo Prieto is a Senior AI Engineer based in Berlin with 9 years of experience building high-performance backend and AI systems. He founded and scaled a text-analysis SaaS in Mexico before moving to Germany, where he has driven low-latency LLM backends, cloud migrations, and domain-driven refactors in production. Hands-on in Python and Go, he has a track record of cutting costs and latency—examples include a 90% cost reduction by self-deploying a document parser and halving LLM latency through caching and concurrency. He contributed backend REST improvements and tests to the widely used DSpace digital repository, underscoring his open-source and integration experience. Comfortable across cloud providers, Kubernetes, and event-driven architectures, Pablo pairs pragmatic engineering with tooling innovations like a FastAPI profiler and CI-focused Playwright suites. He blends startup founder grit with enterprise delivery, often finding simple, measurable optimizations that unlock team velocity.
(Official) The DSpace digital asset management system that powers your Institutional Repository
Role in this project:
Back-end Developer
Contributions:23 commits, 7 PRs, 49 comments in 6 months
Contributions summary:Pablo primarily focused on implementing and improving the REST API functionality of the DSpace digital asset management system. Contributions include the implementation of a DELETE method on the bitstream endpoint and the resolution of a UUID-ID mapping bug within the RestResourceController. They also worked on returning specific error codes (422) when trying to delete logo bitstreams. Furthermore, the user added and modified integration tests for the bitstream DELETE endpoint.
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