Pavel Samygin is a C/C++ software engineer with four years of experience building ultra-low-latency trading systems, kernel-bypass networking, and high-performance connectors at Wunder Fund. Trained in applied mathematics and physics at MIPT and ML engineering through YSDA, he combines rigorous academic research (co-author on two published papers) with practical system-level optimization down to sub-microsecond latency. Prior roles at Yandex and Deloitte reflect strong data-engineering and validation skills, including ETL pipelines, data warehouses, and automated model quality checks. Pavel’s GitHub shows active systems-focused work and a penchant for elegant, efficient code, making him as comfortable with kernel hacks as with production data pipelines.
4 years of coding experience
2 years of employment as a software developer
ML Engineer, ML Engineer at Школа анализа данных
Master's degree, Прикладные Математика и Физика, 4.9/5, Master's degree, Прикладные Математика и Физика, 4.9/5 at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
A launch point for your personal nvim configuration
Contributions:2 pushes in 1 month
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Pavel Samygin - C Software Engineer at Wunder Fund