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Kevin Modzelewski
Software Engineer & Algorithmic Crypto Trader
Kevin Modzelewski is a prominent software engineer known for his work as a Principal Engineer at Dropbox, where he played a significant role in the development of Pyston, a high-performance implementation of Python. His efforts in this area were primarily aimed at improving the speed and efficiency of Python code execution on Dropbox's servers, which was crucial for managing the company's rapidly growing operational costs associated with server usage.13
Education and Early Career
Modzelewski earned a Master of Engineering in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT) in 2010. His thesis focused on scalable memory management, showcasing his deep technical expertise and interest in optimizing software performance.2
Contributions to Dropbox and Pyston
At Dropbox, Modzelewski recognized the need for faster Python execution to handle the extensive codebase and user demands. He co-founded the Pyston project in 2014, which aimed to enhance Python's performance for large applications. After its initial development phase, Pyston was open-sourced, with Modzelewski leading its evolution into version 2.2, which promises significant performance improvements over standard Python implementations.13
Pyston is designed to be easily integrated into existing Python projects, allowing developers to replace their Python interpreter with Pyston without extensive modifications to their codebase. This ease of use is one of its key selling points, targeting developers looking for performance enhancements without the overhead of rewriting applications.13
Current Role
As of now, Modzelewski continues to be involved with Pyston as a co-founder and lead developer, focusing on optimizing Python for real-world applications and addressing the needs of the developer community for faster execution environments.13 His work not only contributes to Dropbox's infrastructure but also impacts the broader Python ecosystem by providing an alternative that enhances performance while maintaining compatibility with existing Python codebases.
