Summary
Mark Karneichyk is a prediction markets trader and applied researcher with a decade of experience building production-grade trading infrastructure and algorithms. He has led quant research and development across crypto and traditional venues, profiling market microstructure, reducing latency, and selecting optimal data feeds to create profitable strategies. At TON Foundation he used AI to uncover sybils and bots, saving over $500k, and has a track record automating analytics pipelines across multiple chains. His background spans full-stack and backend engineering roles (from Yandex and Tinkoff) and performance-focused data engineering at Huawei, giving him a rare blend of production software rigor and quantitative research depth. Based in the UAE, he teaches and mentors students on high-frequency market making and has a strong appetite for reading and adapting academic ideas into robust trading features. Reachable for collaboration or inquiries at markkornwork@gmail.com.
10 years of coding experience
3 years of employment as a software developer
Bachelor, Applied Mathematics and Informatics, Bachelor, Applied Mathematics and Informatics at Higher School of Economics
Yandex School of Data Analysis
English, Russian