Artwork

内容由Adam Bien提供。所有播客内容(包括剧集、图形和播客描述)均由 Adam Bien 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
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Natural Born Breaker

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Manage episode 463222324 series 2469611
内容由Adam Bien提供。所有播客内容(包括剧集、图形和播客描述)均由 Adam Bien 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
An airhacks.fm conversation with Francesco Nigro (@forked_franz) about:
starting with a used Commodore 64 without display, breakdancing as a hobby and its influence on his learning approach, studying computer science at university with a focus on AI and compilers, pursuing a PhD in reinforcement learning, transitioning to IoT and embedded system work, discovering high-performance computing and concurrency patterns like the Disruptor, contributing to open-source projects, persistence in joining Red Hat despite initial rejection, rewriting ActiveMQ Artemis journal, considering Hazelcast before ultimately choosing Red Hat, working on messaging and performance optimization at Red Hat, becoming the performance expert for quarkus, journey from assembly and C programming to Java performance optimization, the importance of understanding low-level details in high-level languages, the impact of container resources on Java JVM performance, the value of deep technical knowledge in the age of AI and LLMs, Francesco's current role at Red Hat focusing on Quarkus performance and scalability issues

Francesco Nigro on twitter: @forked_franz

  continue reading

336集单集

Artwork

Natural Born Breaker

airhacks.fm podcast with adam bien

227 subscribers

published

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Manage episode 463222324 series 2469611
内容由Adam Bien提供。所有播客内容(包括剧集、图形和播客描述)均由 Adam Bien 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
An airhacks.fm conversation with Francesco Nigro (@forked_franz) about:
starting with a used Commodore 64 without display, breakdancing as a hobby and its influence on his learning approach, studying computer science at university with a focus on AI and compilers, pursuing a PhD in reinforcement learning, transitioning to IoT and embedded system work, discovering high-performance computing and concurrency patterns like the Disruptor, contributing to open-source projects, persistence in joining Red Hat despite initial rejection, rewriting ActiveMQ Artemis journal, considering Hazelcast before ultimately choosing Red Hat, working on messaging and performance optimization at Red Hat, becoming the performance expert for quarkus, journey from assembly and C programming to Java performance optimization, the importance of understanding low-level details in high-level languages, the impact of container resources on Java JVM performance, the value of deep technical knowledge in the age of AI and LLMs, Francesco's current role at Red Hat focusing on Quarkus performance and scalability issues

Francesco Nigro on twitter: @forked_franz

  continue reading

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