Roei Erez is a seasoned software leader and co-founder with 11+ years of hands-on R&D and architecture experience, currently serving as VP R&D at Breez. He blends low-level systems expertise (Java/.NET runtimes, C++, HTTP auth) with modern stack proficiency in Node.js, GraphQL, MongoDB and cross-platform mobile/HTML5 apps. Roei has led product-grade NLP efforts—topic segmentation, NER and IR—for consumer-facing mobile experiences and built high-performance client/server infrastructure with a focus on profiling and performance tuning. An active open-source contributor, he’s improved Bitcoin tooling in prominent projects like lnd and neutrino, adding precise satoshi-level payment fields and startup/peer-synchronization optimizations. Known for starting projects from scratch and scaling remote teams, he pairs entrepreneurial drive with deep implementation detail and a habit of extracting practical value from research-grade techniques.
11 years of coding experience
11 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at The Academic College of Tel-Aviv, Yaffo
Contributions:34 reviews, 34 commits, 25 PRs in 4 years 1 month
Contributions summary:Roei contributed to the `lnd` repository, which is a Lightning Network Daemon. Their primary focus was on improving the accuracy and functionality related to financial transactions. Specifically, they modified RPC server code to utilize satoshis for amounts and added value_sat and value_msat fields to payment responses. The user also addressed a database cleanup issue and optimized channel-related routing logic.
Contributions:6 commits, 6 PRs, 39 comments in 1 year 2 months
Contributions summary:Roei primarily contributed to the core functionality of the neutrino light client, focusing on improving its efficiency and stability. Their work included removing unnecessary function calls to optimize startup time and ensure at least one peer is connected before syncing. They also implemented features like the ability to purge filters and added query options for batch sizes, demonstrating a focus on data management and performance optimization. These commits demonstrate a solid understanding of the Bitcoin light client implementation.
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