alan User
@alanuser4
I build high-performance C++ systems for compressed data processing and algorithms.
What I'm looking for
I've built L1Alpha, an experimental C++23 market replay engine for compressed Binance Futures order-book storage and streaming feature computation without batch materialization. I designed its columnar format, rANS compression, DSL compiler, and AOT backend, achieving 3.12× better mask compression than fixed BitPack4 and roughly 45% less selective I/O.
I'm studying Applied Mathematics and Informatics at HSE University while working on low-level systems, streaming algorithms, and research on splay trees and LazySplayNet. My projects also include a Meltdown attack implementation using Intel TSX and FLUSH+RELOAD, smart pointers, mathematical algorithms, and a BMP image processor.
Experience
Work history, roles, and key accomplishments
Research Binary Search Trees / SplayNet
HSE University
Jan 2025 - Present (1 year 7 months)
Conducted mathematical analysis of splay trees and implemented LazySplayNet, a self-adjusting network simulation with lazy resynchronization.
Education
Degrees, certifications, and relevant coursework
HSE University
Bachelor of Science, Applied Mathematics and Informatics
2024 -
Pursuing a degree in Applied Mathematics and Informatics at HSE University's Faculty of Computer Science.
Availability
Location
Authorized to work in
Job categories
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