Robin Lin is a Sensor SDE II with nine years of experience building embedded software, computer vision, and sensing systems at Amazon Robotics and currently working on applied automation in Amazon's STAR program. He combines low-level embedded expertise (RGB-D stereo sensing, smart barcode scanners) with back-end and test automation skills demonstrated by contributions to the Apache Kafka project—particularly adding KRaft quorum controller tests and robustness fixes. A Cornell ECE/CS graduate, Robin has a strong research background from internships at Cornell, NUS, and in satellite and quantum-related labs, signaling comfort with both experimental hardware and production software. He thrives at the intersection of robotics sensing, systems reliability, and scalable test engineering, and often surfaces deeper architectural fixes rather than just feature work.
9 years of coding experience
4 years of employment as a software developer
High School | IB Program, Ontario Secondary School Diploma, Liberal Arts and Sciences/Liberal Studies, High School | IB Program, Ontario Secondary School Diploma, Liberal Arts and Sciences/Liberal Studies at Upper Canada College
Bachelor of Science - BS, Electrical and Computer Engineering, Computer Science, Bachelor of Science - BS, Electrical and Computer Engineering, Computer Science at Cornell University
Contributions:9 reviews, 13 PRs, 20 comments in 1 year
Contributions summary:Robin's contributions primarily focused on adding and improving KRaft (Kafka Raft) support within the Apache Kafka codebase. Their work involved modifying existing test cases to ensure compatibility with the KRaft quorum controller, specifically in areas like consumer group management and offset handling. The commits demonstrate a strong understanding of Kafka's internal architecture and testing methodologies, adding tests for various functionalities like DescribeConsumerGroup, DeleteOffsetsConsumerGroup, and user credential handling. Furthermore, the user addressed compilation errors and contributed to exception handling within the metric reporting system.
Contributions:80 pushes, 19 branches in 1 year 5 months
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