Leon Štok is a quantitative trader and builder of high-throughput alpha discovery systems with 8 years of engineering experience, currently running a prototype that trades ~1,000 assets across stocks, FX, ETFs and commodity futures. He designs and implements ML-driven, self-improving trading infrastructure—authoring a custom JIT compiler, genetic programming pipelines, and a GPU-accelerated distributed backtester—having rewritten his platform a dozen times and written over half a million lines of code. Previously he cut infrastructure costs 35x by porting Python services to Rust and worked on petabyte-scale data pipelines, blending systems-level optimization with quantitative research. An entrepreneur and ex-cofounder, he moves rapidly between building company-grade systems and hands-on R&D, now transitioning from a learning phase into active AUM growth. Based in Zagreb, he pairs deep technical craft (Rust, CUDA, Polars, HPC) with ambition to launch a hedge fund as a lever for broader impact. An avid self-learner and aspiring rejuvenation athlete, he frames engineering as the vehicle to scale beneficial change.
8 years of coding experience
2 years of employment as a software developer
Online and books
Master's degree, IT Engineering - Computing Systems, Master's degree, IT Engineering - Computing Systems at Zagreb University of Applied Sciences
YouTube
Self learning - AI enhanced
Electrical and Electronics Engineering, Electrical and Electronics Engineering at Technical school Karlovac
Cryptocurrency alert system that runs locally on your computer.
Contributions:56 commits, 22 PRs, 41 pushes in 9 months
alertlocallycryptorunscryptocurrency
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