Marián Dvorský is a Member of Technical Staff in the San Francisco Bay Area with about four years of recent experience and a long history working on large-scale infrastructure and distributed systems. He has driven developer productivity, build tooling, testing infrastructure and cloud cost optimization at Snowflake and contributed backend C bindings and atomic/blob-granule work to the widely used open-source FoundationDB. His background spans real-time multimedia (C++ WebRTC, NeRF 3D reconstruction), cloud data pipelines (GCP, Dataflow, Spark), and large-scale sorting and performance work from a long tenure at Google. Comfortable across systems, backend, and ML stacks, he pairs hands-on engineering with pragmatic simplification of architectures and has a track record of evangelizing practical LLM usage in developer workflows.
3 years of coding experience
19 years of employment as a software developer
Magister Computer Science, Magister Computer Science at Univerzita 'Pavla Jozefa Šafárika' v Košiciach
FoundationDB - the open source, distributed, transactional key-value store
Role in this project:
Back-end Developer
Contributions:98 reviews, 35 commits, 47 PRs in 6 months
Contributions summary:Marián contributed to the C bindings client library for the Apple platform by including necessary symbols from `fdb_c_internal.h`. They also refactored code within the `bindings/c/test/apitester` directory, specifically replacing uses of `TesterApiWrapper` with `fdb_api.hpp`. Further contributions included addressing review comments and adding and modifying code related to atomic operations and blob granules.
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Marián Dvorský - Member Of Technical Staff at OpenAI