Michael Shamis is a quantitative developer with 14+ years building high-performance, low-latency systems for top-tier firms including D. E. Shaw, Cubist, and Jump Trading. He brings deep expertise in C++, Java, C#, Python, multithreading, sockets and parallel computing, honed over seven years at IBM Research and a decade in trading infrastructure. In current hybrid quant/software roles he designs forecasts, strategies, and highly optimized multithreaded data structures that power systematic trading. Beyond trading, he has contributed security-focused improvements to the widely used requests HTTP library, adding Kerberos/GSSAPI support and robust auth/error handling. Trained as an engineer at Technion, he combines rigorous research instincts with pragmatic software design to solve latency- and correctness-critical problems. Colleagues rely on him for elegant, performance-driven solutions where both algorithmic insight and systems craftsmanship matter.
14 years of coding experience
20 years of employment as a software developer
Master's Degree, Electical Engineering, Master's Degree, Electical Engineering at Technion - Israel Institute of Technology
Bachelor's Degree, Computer Engineering, Bachelor's Degree, Computer Engineering at Technion-Machon Technologi Le' Israel
Contributions summary:Michael primarily focused on enhancing the `requests` library by addressing authentication and error handling. They implemented Kerberos/GSSAPI authentication support, including handling redirects and server authentication, and refactored hook handling to allow for the return of error responses. Furthermore, the user ensured the correct passing of user-supplied options during authentication-related requests. Lastly, they fixed tests related to authentication and stream behavior, ensuring compatibility across Python versions.
Contributions:361 pushes, 4 branches, 1 comment in 6 years 11 months
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