Summary
Alex Sieusahai is a software engineer with nine years of experience who currently builds systems at Jane Street, where he transitioned from multiple internships into a full-time engineering role. He blends a strong mathematical background (BSc, University of Alberta) with practical ML and infrastructure experience, having contributed to explainable reinforcement learning research (AIIDE 2021) and applied NLP and sparse-tensor optimizations during industry stints. His background spans trading-tech, people tech, and infrastructure tooling—work that emphasizes correctness and performance in production environments. Notably, he has first-author research on surrogate models for explainability, signaling an uncommon mix of research rigor and production-focused engineering.
8 years of coding experience
3 years of employment as a software developer
BSc, Mathematics, 3.7, BSc, Mathematics, 3.7 at University of Alberta