Summary
Daniel Stanoescu is a Staff Engineer with 13 years' experience building production-grade distributed systems and ML platforms, currently driving Kubernetes, gRPC and protobuf-based services at Miro. He led Skyscanner’s ML & Knowledge Platform, combining EMR/Databricks pipelines with model lifecycle tooling and service mesh integrations to move ML from research into reliable, scalable production. Academically trained in AI (MSc) and AI & Computer Science (BSc Hons), his early work on Nested MapReduce, RDF timetables and NLP-backed destination recommendation shows a blend of systems thinking and applied ML. Comfortable across Go, Java, Kotlin, Python and Rust, he pairs low-level protocol design with data engineering and inference deployment expertise. Outside core engineering, he has tutored university courses and applied investment analysis skills during his time at Edinburgh, reflecting a habit of translating technical insight into strategic decisions.
13 years of coding experience
14 years of employment as a software developer
Master of Science (MSc) Artificial Intelligence - Learning From Data, Master of Science (MSc) Artificial Intelligence - Learning From Data at The University of Edinburgh
Bacalaureat Diploma Informatics, Bacalaureat Diploma Informatics at Spiru Haret National College