Dear Apache RocketMQ Developers, I hope you are all doing well. My name is Divyansh Agrawal, and I am an undergraduate student with a strong interest in distributed systems, concurrent programming, and software development. I am eager to contribute to Apache RocketMQ through Google Summer of Code (GSoC) 2025, specifically working on the project "Optimizing RocketMQ's POP Orderly Consumption Process." Over the past few weeks, I have been exploring RocketMQ’s architecture, internal mechanisms, and existing challenges related to message consumption optimization. With a solid foundation in data structures, algorithms, and problem-solving, I have actively participated in GeeksForGeeks problem-solving and Codeforces contests, securing 99.93 percentile in Mathematics in JEE Mains. Additionally, I have been working on deep learning-related projects, particularly in convolutional neural networks (CNNs), though my expertise in ML is still developing. I would love to learn from the community regarding:
* The current challenges in RocketMQ’s POP Orderly Consumption. * Key areas of improvement and best practices for contributing effectively. * Any relevant issues, performance bottlenecks, or additional resources that could help me gain a deeper understanding. I am excited about the possibility of contributing to RocketMQ and look forward to collaborating with all of you. Please let me know how I can get started in the most effective way. Best regards, Divyansh Agrawal https://github.com/DivyanshIITB
