Donato Sciarra
Senior Software Specialist BMW Group
Greater Munich Metropolitan Area Germany
Summary
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Senior🎓
Top SchoolDonato Sciarra is a Senior Software Specialist at BMW Group with 11 years of experience building in-car systems, from ADAS and teleoperation to speech recognition. He combines deep C++ and distributed systems expertise with formal training from Technische Universität München and international study in Milan and Wrocław. At BMW he has doubled as an open source advocate, shaping licensing, compliance and community processes while also owning product and engineering work on projects like joynr. His background spans research, industry internships and a master's thesis on 3D reconstruction, giving him a strong foothold in perception and embedded software for automotive contexts. Colleagues rely on him to bridge rigorous engineering with pragmatic, scalable delivery across safety-critical vehicle features. He is based in the Greater Munich area and known for bringing OSS governance into production-grade automotive software.
11 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at Wrocław University of Science and TechnologyMaster of Science Computer Science, Master of Science Computer Science at Technical University of MunichBachelor of Science (B.Sc.) Computer Science Engineering, Bachelor of Science (B.Sc.) Computer Science Engineering at Politecnico di Milano
Italian, English, German
Github Skills (57)
rust-lang10
rust-language10
standard-library10
crate10
compiler10
rust10
allocator10
garbage-collection10
blazegraph9
kamailio9
telephony9
sip9
virtuoso9
voip9
webrtc9
Programming languages (3)
Github contributions (5)
dsciarra/rust
Jul 2018 - May 2020
A safe, concurrent, practical language.
Contributions:20 pushes, 9 branches in 1 year 9 months
concurrent-safeconcurrencyrustpracticalcompiler
dsciarra/qlever
Mar 2025 - Mar 2025
Very fast SPARQL Engine, which can handle very large knowledge graphs like the complete Wikidata, offers context-sensitive autocompletion for SPARQL queries, and allows combination with text search. It's faster than engines like Blazegraph or Virtuoso, especially for queries involving large result sets.
Contributions:1 push, 2 branches in 3 days
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