Yonatan Komornik is a Member of Technical Staff and seasoned engineering leader with nine years of experience building high-performance data and compression systems for companies like Meta and OpenAI. He has architected petabyte-scale pipelines and curated trillion+ token datasets for LLM training, and previously led fraud-prevention and real-time analytics initiatives that scaled to 100K+ events/sec. A core contributor to next-generation compression at Meta and to the open-source Zstandard project, he blends systems-level optimization, async I/O and DevOps expertise to squeeze latency and cost out of production workloads. His background in security research and industrial control systems gives him a rare edge in low-level reverse engineering and robust, threat-aware design. Comfortable moving between research and production, he has repeatedly taken R&D prototypes into reliable, zero-downtime deployments. Based in the United States with a BSc in Mathematics and Computer Science from Tel Aviv University, he favors solving technically hard problems that drive measurable business impact.
9 years of coding experience
14 years of employment as a software developer
Bachelor of Science (BSc) Mathematics and Computer Science, Bachelor of Science (BSc) Mathematics and Computer Science at Tel Aviv University
Contributions:71 reviews, 21 commits, 65 PRs in 1 year 2 months
Contributions summary:Yonatan primarily focused on improving the Zstandard CLI and underlying codebase. Their work included enhancing performance by implementing buffered output and adding async write functionality for decompression. They also addressed build and test infrastructure, fixing issues related to environment variables and the zstd-dll build process, demonstrating expertise in both the core compression algorithm and build processes. The user also refactored existing asynchronous I/O code, improving code organization and adding features.
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